---
cited_by: []
datasets:
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set is a five-class land cover for Southern Para for the years 1984 (Landsat MSS), 1988 (Landsat TM), 1996, and 2003 (Landsat ETM+). The final classification shows five classes derived using visual comparison (Water, Clouds/Shadow, Forest, Not Forest, Background). These data were used in 2007 to illustrate the nature of deforestation in Southern Para, Brazil over the past twenty years (Simmons et al. 2007). There are four annual GeoTIFF files distributed with this data set. Each GeoTIFF file and accompanying *.tfw file have been compressed into a single *.zip file.'
    description_attribution: http://daac.ornl.gov//LBA/guides/LC24_Land_Cover_Southern_Para.html
    display_name: 'LBA-ECO LC-24 Landsat TM and ETM+ Land Cover, Southern Para, Brazil: 1984-2003'
    doi: 10.3334/ORNLDAAC/1055
    end_time: 2003-08-03T00:00:00
    identifier: nasa-ornldaac-1055
    lat_max: -4.7908
    lat_min: -34.8707
    lon_max: -19.8435
    lon_min: -49.9385
    name: 'LBA-ECO LC-24 Landsat TM and ETM+ Land Cover, Southern Para, Brazil: 1984-2003'
    native_id: LC24_LAND_COVER_SOUTHERN_PARA
    processing_level: ~
    publication_year: ~
    release_dt: 2011-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1984-08-03T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1055
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1055
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set contains a time series of early Landsat-4 MSS satellite imagery as well as Landsat-5 TM and Landsat-7 ETM+ satellite imagery of the northern Ecuadorian Amazon. Some of the TM and ETM images have been georectified to UTM Zone 18 South, WGS84 Datum. Not all of the images have been georectified.'
    description_attribution: http://daac.ornl.gov//LBA/guides/LC01_Landsat.html
    display_name: 'LBA-ECO LC-01 Landsat MSS, TM, ETM+ Imagery, Northern Ecuadorian Amazon: 1973-2002'
    doi: 10.3334/ORNLDAAC/1187
    end_time: 2002-09-12T00:00:00
    identifier: nasa-ornldaac-1187
    lat_max: 0.9495
    lat_min: -2.3979
    lon_max: -74.4006
    lon_min: -78.2831
    name: 'LBA-ECO LC-01 Landsat MSS, TM, ETM+ Imagery, Northern Ecuadorian Amazon: 1973-2002'
    native_id: LC01_LANDSAT
    processing_level: ~
    publication_year: ~
    release_dt: 2013-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1973-02-07T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1187
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1187
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The purpose of the SNF Study was to develop the techniques to make the link from biophysical measurements made on the ground to aircraft radiometric measurements and then to scale up to satellite observations. Therefore, satellite image data were acquired for the Superior National Forest study site. These data were selected from all the scenes available from Landsat 1 through 5 and SPOT platforms. Image data substantially contaminated by cloud cover or of poor radiometric quality was not acquired. Of the Landsat scenes, only one Thematic Mapper (TM) scene was acquired, the remainder were Multispectral Scanner (MSS) images. Some of the acquired image data had cloud cover in portions of the scene or other problems with the data. These problems and other comments about the images are summarized in the data set. This data set contains a listing of the scenes that passed inspection and were acquired and archived by Goddard Space Flight Center. Though these image data are no longer available from either the Goddard Space Flight Center or the ORNL DAAC, this data set has been included in the Superior National Forest data collection in order to document which satellite images were used during the project.'
    description_attribution: http://daac.ornl.gov//SNF/guides/satellite_image_inventory.html
    display_name: SNF Satellite Image Data Inventory
    doi: 10.3334/ORNLDAAC/186
    end_time: 1986-12-31T00:00:00
    identifier: nasa-ornldaac-186
    lat_max: 48.1697
    lat_min: 47.6575
    lon_max: -91.7658
    lon_min: -92.5058
    name: SNF Satellite Image Data Inventory
    native_id: SNF_SAT_INV
    processing_level: ~
    publication_year: ~
    release_dt: 1996-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1986-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-186
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=186
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The BOREAS RSS-08 team utilized Landsat TM images to perform mapping of snow extent over the SSA. This data set consists of two Landsat TM images which were used to determine the snow-covered pixels over the BOREAS SSA on 18-Jan-1993 and on 06-Feb-1994. Companion files include example thumbnail images that may be viewed using a convenient viewer utility.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/RSS08_Snow_Maps.html
    display_name: BOREAS RSS-08 Snow Maps Derived from Landsat TM Imagery
    doi: 10.3334/ORNLDAAC/428
    end_time: 1994-02-06T00:00:00
    identifier: nasa-ornldaac-428
    lat_max: 54.78
    lat_min: 52.9
    lon_max: -103.43
    lon_min: -106.91
    name: BOREAS RSS-08 Snow Maps Derived from Landsat TM Imagery
    native_id: BOREAS_RSS8SNOW
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1993-01-18T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-428
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=428
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the NSA. A Landsat-5 TM image from 20-Aug-1988 was used to derive this classification. A standard supervised maximum likelihood approach was used to produce this classification. Companion files include example thumbnail images that may be viewed using a convenient viewer utility.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/TE18_NSA_Class_Max.html
    display_name: BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the NSA
    doi: 10.3334/ORNLDAAC/429
    end_time: 1988-08-20T00:00:00
    identifier: nasa-ornldaac-429
    lat_max: 56.31
    lat_min: 55.34
    lon_max: -97.02
    lon_min: -99.3
    name: BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the NSA
    native_id: BOREAS_LTMMAXLN
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1988-08-20T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-429
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=429
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: A Landsat-5 TM image from 06-Aug-1990 was used to derive this classification. The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the SSA. A standard supervised maximum likelihood approach was used to produce this classification. Companion files include example thumbnail images that may be viewed using a convenient viewer utility.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/TE18_SSA_Class_Max.html
    display_name: BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the SSA
    doi: 10.3334/ORNLDAAC/430
    end_time: 1990-08-06T00:00:00
    identifier: nasa-ornldaac-430
    lat_max: 54.44
    lat_min: 53.33
    lon_max: -104.28
    lon_min: -106.51
    name: BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the SSA
    native_id: BOREAS_LTMMAXLS
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1990-08-06T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-430
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=430
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the NSA. A Landsat-5 TM image from 21-Jun-1995 was used to derive the classification. A technique was implemented that uses reflectances of various land cover types along with a geometric optical canopy model to produce spectral trajectories. These trajectories are used as training data to classify the image into the different land cover classes. Companion files include example thumbnail images that may be viewed and using a convenient viewer utility.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/TE18_NSA_Class_Traj.html
    display_name: BOREAS TE-18 Landsat TM Physical Classification Image of the NSA
    doi: 10.3334/ORNLDAAC/431
    end_time: 1995-06-21T00:00:00
    identifier: nasa-ornldaac-431
    lat_max: 56.26
    lat_min: 55.38
    lon_max: -97.24
    lon_min: -99.2
    name: BOREAS TE-18 Landsat TM Physical Classification Image of the NSA
    native_id: BOREAS_LTMPHYSN
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1995-06-21T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-431
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=431
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the SSA. A Landsat-5 TM image from 02-Sep-1994 was used to derive the classification. A technique was implemented that uses reflectances of various land cover types along with a geometric optical canopy model to produce spectral trajectories. These trajectories are used as training data to classify the image into the different land cover classes. These data are provided in a binary image file format. Companion files include example thumbnail images that may be viewed and the image data files downloaded using a convenient viewer utility.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/TE18_SSA_Class_Traj.html
    display_name: BOREAS TE-18 Landsat TM Physical Classification Image of the SSA
    doi: 10.3334/ORNLDAAC/432
    end_time: 1994-09-02T00:00:00
    identifier: nasa-ornldaac-432
    lat_max: 54.44
    lat_min: 53.31
    lon_max: -104.19
    lon_min: -106.52
    name: BOREAS TE-18 Landsat TM Physical Classification Image of the SSA
    native_id: BOREAS_LTMPHYSS
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1994-09-02T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-432
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=432
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The BOREAS RSS-07 team used Landsat TM images processed at CCRS to produce images of LAI for the BOREAS study areas. Two images acquired on June 6 and August 9, 1991 were used for the SSA, and one image acquired on June 9, 1994 was used for the NSA. The LAI images are based on ground measurements and Landsat TM RSR images. The data are stored in binary image-format files. Companion files include example thumbnail images that may be viewed and the image data files downloaded using a convenient viewer utility.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/RSS07_TM_LAI.html
    display_name: BOREAS RSS-07 Landsat TM LAI Images of the SSA and NSA
    doi: 10.3334/ORNLDAAC/441
    end_time: 1994-06-09T00:00:00
    identifier: nasa-ornldaac-441
    lat_max: 58.98
    lat_min: 50.09
    lon_max: -93.5
    lon_min: -111
    name: BOREAS RSS-07 Landsat TM LAI Images of the SSA and NSA
    native_id: BOREAS_RS7TMLAI
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1991-06-06T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-441
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=441
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The BOREAS TE-18 team used a radiometric rectification process to produce standardized digital number (DN) values for a series of Landsat TM images of the BOREAS SSA and NSA in order to compare images that were collected under different atmospheric conditions. The images for each study area were rectified by using a reference image that had clear atmospheric qualities. The reference image for the SSA was collected on 02-Sep-1994, while the reference image for the NSA was collected on 21-Jun-1995. The 23 rectified images cover the period of 07-Jul-1985 to 18-Sep-1994 in the SSA and 22-Jun-1984 to 09-Jun-1994 in the NSA.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/TE18_Rad_Rectif_60m.html
    display_name: 'BOREAS TE-18, 60-m, Radiometrically Rectified Landsat TM Imagery'
    doi: 10.3334/ORNLDAAC/564
    end_time: 1994-09-18T00:00:00
    identifier: nasa-ornldaac-564
    lat_max: 56.25
    lat_min: 53.42
    lon_max: -97.23
    lon_min: -106.32
    name: 'BOREAS TE-18, 60-m, Radiometrically Rectified Landsat TM Imagery'
    native_id: BOREAS_TE18LS60
    processing_level: ~
    publication_year: ~
    release_dt: 2000-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1984-06-22T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-564
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=564
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: BOREAS follow-on group DSP-9 mapped surface moss type at three scales (1 km, 30 m, and 10 m) based on observed associations between moss cover and land cover type. In the BOREAS Northern (NSA) and Southern (SSA) Study Areas, we utilized land cover derived from Landsat TM (30 m) and ground measurements/observations, soils maps, and field observations to establish associations between moss and land cover. At the BOREAS regional scale, the 1 km moss cover map was developed using a 1 km AVHRR land cover map for a 619 by 821 km subset of the BOREAS region. Our regional moss cover map is largely based on inferences from the 1 km land cover analysis and from ground observations in the study areas. The 30 m moss map covers the BOREAS Southern Study Area. The 10 m map covers the BOREAS NSA Old Black Spruce tower site.'
    description_attribution: http://daac.ornl.gov//BOREAS/FollowOn/guides/dsp09_moss_cover_doc.html
    display_name: BOREAS Follow-On DSP-09 Moss Cover Classification at Three Area Scales
    doi: 10.3334/ORNLDAAC/595
    end_time: 1994-12-31T00:00:00
    identifier: nasa-ornldaac-595
    lat_max: 60
    lat_min: 48
    lon_max: -90
    lon_min: -111
    name: BOREAS Follow-On DSP-09 Moss Cover Classification at Three Area Scales
    native_id: dsp09_mosscover
    processing_level: ~
    publication_year: ~
    release_dt: 2001-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1992-04-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-595
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=595
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: These images were produced by aggregating a reclassified version of the 30-m land cover Thematic Mapper classification by CCRS and are now available at multiple resolutions (10x5 minutes, and 30 minutes). These data were regridded for use by the BOREAS Follow-on Carbon and Hydro-Meteorological modeling groups. Characteristics of the individual products are described in the data set guide document.'
    description_attribution: http://daac.ornl.gov//BOREAS/FollowOn/guides/dsp10_landcov_tm_rec_maps.html
    display_name: 'BOREAS Follow-On DSP-10 Reclassified Regridded TM Mosaic Land Cover Maps, 1994'
    doi: 10.3334/ORNLDAAC/597
    end_time: 1995-01-01T00:00:00
    identifier: nasa-ornldaac-597
    lat_max: 60
    lat_min: 48
    lon_max: -90
    lon_min: -111
    name: 'BOREAS Follow-On DSP-10 Reclassified Regridded TM Mosaic Land Cover Maps, 1994'
    native_id: dsp10_reclass
    processing_level: ~
    publication_year: ~
    release_dt: 2001-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1994-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-597
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=597
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: Existing 1-km moss cover classifications were reprocessed and are now available at multiple resolutions (2 km, 10x5 minutes, and 0.5 degree). These data were regridded for use by the BOREAS Follow-on Carbon and Hydro-Meteorological modeling groups to have a number of data sets available in common grid projections and scales for intercomparison studies. Characteristics of the individual products are described in the data set guide document.'
    description_attribution: http://daac.ornl.gov//BOREAS/FollowOn/guides/dsp10_moss_cover_maps.html
    display_name: BOREAS Follow-On DSP-10 Regridded Moss Cover Maps for 1994
    doi: 10.3334/ORNLDAAC/599
    end_time: 1995-01-01T00:00:00
    identifier: nasa-ornldaac-599
    lat_max: 60
    lat_min: 48
    lon_max: -90
    lon_min: -111
    name: BOREAS Follow-On DSP-10 Regridded Moss Cover Maps for 1994
    native_id: dsp10_moss_cover
    processing_level: ~
    publication_year: ~
    release_dt: 2001-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1994-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-599
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=599
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The Thematic Mapper sensor system was used to collect the original data between February 1987 and October 1989 from which this data set was produced. Landsat TM extract data contains the average instrument corrected spectral radiances for each of the seven spectral bands. In addition, the associated view and solar angles are available for each of 39 FIFE ground measurement sites. The Site Reflectances Extracted from Landsat TM Imagery Data Set also contains reflectance values and exoatmospheric reflectance values for these seven spectral bands. These reflectances were derived using the sensor calibrated radiances which were corrected for exoatmospheric effects using atmospheric aerosol optical thickness and gaseous absorption profile measurements, when available. The atmospheric correction algorithm of Fraser et al. (1989) was used to calculate reflectance in the visible and infrared channels. The thermal data were corrected using parameters derived from the Lowtran-7 atmospheric path radiance model (Kneizys et al. 1988).'
    description_attribution: http://daac.ornl.gov//FIFE/guides/Satellite_Landsat_TM_Extr_Data.html
    display_name: Satellite Landsat TM Extr. Data (FIFE)
    doi: 10.3334/ORNLDAAC/78
    end_time: 1988-09-26T00:00:00
    identifier: nasa-ornldaac-78
    lat_max: 39.12
    lat_min: 38.98
    lon_max: -96.45
    lon_min: -96.61
    name: Satellite Landsat TM Extr. Data (FIFE)
    native_id: FIFE_SAT_LTM
    processing_level: ~
    publication_year: ~
    release_dt: 1994-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1987-04-09T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-78
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=78
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set contains four land use/land cover maps (1986, 1992, 1996 and 2001) for the Ji-Parana River Basin, derived from the digital classification of 8 Landsat images obtained from The Tropical Rain Forest Information Center (TRFIC).'
    description_attribution: http://daac.ornl.gov//LBA/guides/CD06_Landuse_Timeseries_JiParana.html
    display_name: 'LBA-ECO CD-06 Land Use/Land Cover Time Series, Ji-Parana Basin, Brazil: 1986-2001'
    doi: 10.3334/ORNLDAAC/844
    end_time: 2001-08-31T00:00:00
    identifier: nasa-ornldaac-844
    lat_max: -8.0333
    lat_min: -12.9269
    lon_max: -60.015
    lon_min: -63.4153
    name: 'LBA-ECO CD-06 Land Use/Land Cover Time Series, Ji-Parana Basin, Brazil: 1986-2001'
    native_id: lba_cd06_lulc_ts
    processing_level: ~
    publication_year: ~
    release_dt: 2007-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1986-06-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-844
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=844
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water) and subjected to change detection analysis to create transition matrices of land cover change. Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 for each site and are therefore not continuous. There are 3 GeoTIFF files (.tif) with this data set.'
    description_attribution: http://daac.ornl.gov//LBA/guides/LC09_Transition_Matrices.html
    display_name: 'LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001'
    doi: 10.3334/ORNLDAAC/1098
    end_time: 2001-12-31T00:00:00
    identifier: nasa-ornldaac-1098
    lat_max: -1.36
    lat_min: -4.5592
    lon_max: -48.86
    lon_min: -55.61
    name: 'LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001'
    native_id: LC09_TRANSITION_MATRICES
    processing_level: ~
    publication_year: ~
    release_dt: 2012-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1985-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1098
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1098
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provide in the companion document (Larose2003FTReport.pdf (link)).The Leaf Area Index (LAI) maps are at 30-m resolution for the 3x3-km Larose site. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover maps to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).The VALERI project (Validation of Land European Remote sensing Instruments) is dedicated to the validation of the products derived from medium resolution satellite sensors ( http://www.avignon.inra.fr/valeri/ ). The objectives of the VALERI project are: (1) to evaluate the absolute accuracy of the biophysical products (LAI, fAPAR, fCover) derived from large swath sensors (e.g., AVHRR, POLDER, VEGETATION, SEAWIFS, MSG, MERIS, AATSR, MODIS, MISR, GLI) using a range of possible algorithms; and (2) to inter-compare the products derived from different sensors and algorithms. For this purpose, the VALERI project has developed a network of sites distributed over the Earth’s surface and a methodology designed to directly measure the biophysical variables of interest at proper spatial and temporal scales.'
    description_attribution: http://daac.ornl.gov//LAND_VAL/guides/Fernandes_LAI_Valeri.html
    display_name: 'Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada'
    doi: 10.3334/ORNLDAAC/829
    end_time: 2003-08-19T00:00:00
    identifier: nasa-ornldaac-829
    lat_max: 45.394
    lat_min: 45.3671
    lon_max: -75.1979
    lon_min: -75.2364
    name: 'Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada'
    native_id: LAI_MAPS_30M_VALERISITE
    processing_level: ~
    publication_year: ~
    release_dt: 2006-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-05-08T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-829
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=829
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This software is designed to work with the standard web-enabled EROS L1T product for Landsat-5 and Landsat-7. Version 2, the latest version, was updated to support both old and new metadata formats for Landsat L1T products. This change was necessitated when USGS EROS changed their metadata format in August 2012. The source code, installation and run instructions, and required ancillary data files are provided. Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data. The 2011 and 2012 ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].'
    description_attribution: http://daac.ornl.gov//MODELS/guides/LEDAPS_V2.html
    display_name: 'LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2'
    doi: 10.3334/ORNLDAAC/1146
    end_time: 2012-12-31T00:00:00
    identifier: nasa-ornldaac-1146
    lat_max: 90
    lat_min: -90
    lon_max: 180
    lon_min: -180
    name: 'LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2'
    native_id: LEDAPS_PREPROCESSING_TOOL_V2
    processing_level: ~
    publication_year: ~
    release_dt: 2013-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1980-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1146
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1146
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set contains images of fractional cover estimates of photosynthetic vegetation (PV) canopy, nonphotosynthetic vegetation (NPV), and exposed soils (S) derived from Landsat images (30-m resolution) obtained for two ranches in the Brazilian Amazon from 1996 to 2002. The Fazenda Vitoria ranch is located in eastern Para near the city of Paragominas and is a mosaic of primary forest, logged forest, secondary forest, and pasture with moderately dissected topography. The Fazenda Nova Vida ranch is located in the state of Rondonia in western Amazonia and is a mosaic of primary forest, logged forest, and pastures. For Fazenda Vitoria, two dry-season Landsat images were obtained, subset, and analyzed. For Nova Vida three dry-season images and one end-of-wet-season image were obtained, subset, and analyzed. Spectral mixture analysis, which decomposes individual satellite pixels into constituent cover fractions of surface materials, was used with a general probabilistic modeling approach to derive subpixel cover fractions of PV, NPV, and S. There are six GeoTIFF (.tif) files with this data set.'
    description_attribution: http://daac.ornl.gov//LBA/guides/ND30_Pasture_Degradation.html
    display_name: 'LBA-ECO ND-30 Fractional Cover of Mixed Land Use Ranches, Para and Rondonia, Brazil'
    doi: 10.3334/ORNLDAAC/1164
    end_time: 2002-05-26T00:00:00
    identifier: nasa-ornldaac-1164
    lat_max: -1.9907
    lat_min: -11.0355
    lon_max: -45.6918
    lon_min: -63.1374
    name: 'LBA-ECO ND-30 Fractional Cover of Mixed Land Use Ranches, Para and Rondonia, Brazil'
    native_id: ND30_PASTURE_DEGRADATION
    processing_level: ~
    publication_year: ~
    release_dt: 2013-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1996-07-05T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1164
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1164
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set provides classified land cover transition images (maps) derived from Landsat Thematic Mapper (TM) and Multispectral Scanner (MSS) imagery for Ariquemes, Luiza, and Ji-Parana¡ areas in Rondonia, Brazil, at 30-m resolution. Images depict the age relative to the year 2000, of cleared land from the date the land was cut, to the date when primary forests transitioned into nonforest class (for example, 25 = cut by 1975, or 25 years before the year 2000). Temporal changes in three regions are represented by 31 TM scenes acquired between 1984 and 1999, and a pair of MSS scenes from 1975 and 1978. Data are provided as three GeoTiff (*.tif) images, one for each of the three areas.'
    description_attribution: http://daac.ornl.gov//LBA/guides/ND01_Age_Maps.html
    display_name: 'LBA-ECO ND-01 Primary Forests Land Cover Transition Maps, Rondonia, Brazil: 1975-1999'
    doi: 10.3334/ORNLDAAC/1184
    end_time: 1999-10-16T00:00:00
    identifier: nasa-ornldaac-1184
    lat_max: -9.1808
    lat_min: -12.4311
    lon_max: -61.1817
    lon_min: -64.6406
    name: 'LBA-ECO ND-01 Primary Forests Land Cover Transition Maps, Rondonia, Brazil: 1975-1999'
    native_id: ND01_AGE_MAPS
    processing_level: ~
    publication_year: ~
    release_dt: 2013-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1975-06-19T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1184
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1184
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "ABSTRACT: This data set provides a time series of Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) scenes for five (Path/Row) areas in Rondonia, Brazil. The scenes are from the period June 1975 through June 2000, but all areas do not have scenes for all the years. The areas and Landsat Path/Rows included are as follows: Ariquemes (P232,R67), Ji-Parana (P231, R67), Luiza (P231, R68), Cacoal (P230, R68), and Porto Velho (P232, R66). TM images are available for all five areas. Because of a paucity of digital Landsat MSS imagery from the 1970s, only two scenes could be included, a 1975 scene from Ariquemes and a 1978 scene from Ji-Parana. Each of the Landsat scenes has been coregistered to a Path/Row-specific georectified PRODES Landsat file obtained from the Brazilian Government's National Institute for Space Research (INPE) program. For each scene, the coregistration is accurate to within (plus or minus)1 pixel (30-m Landsat resolution) in most places. The five INPE PRODES Landsat scenes used in the georectification process are included with this data set. There are five compressed files (tar.gz format) with this data set. When expanded, each compressed file (which corresponds to one of the five areas) contains a directory for each scene with GeoTIFF files for individual Landsat bands, a text file of tie points, and another text file of slope and intercept values for converting radiance to reflectance. There are two dates for Landsat MSS scenes, 45 dates for TM scenes, and six dates for ETM+ scenes."
    description_attribution: http://daac.ornl.gov//LBA/guides/ND01_Registered_TM_MSS.html
    display_name: 'LBA-ECO ND-01 Georegistered Landsat Imagery for Rondonia, Brazil: 1975-2000'
    doi: 10.3334/ORNLDAAC/1197
    end_time: 2000-06-28T00:00:00
    identifier: nasa-ornldaac-1197
    lat_max: -7.8275
    lat_min: -12.4968
    lon_max: -59.8567
    lon_min: -64.6406
    name: 'LBA-ECO ND-01 Georegistered Landsat Imagery for Rondonia, Brazil: 1975-2000'
    native_id: ND01_REGISTERED_TM_MSS
    processing_level: ~
    publication_year: ~
    release_dt: 2013-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1975-06-19T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-1197
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1197
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This biomass density image covers almost the entire BOREAS SSA. The pixels for which biomass density is computed include areas that are in conifer land cover classes only. The biomass density values represent the amount of overstory biomass (i.e. tree biomass only) per unit area. It is derived from a Landsat-5 TM image collected on 02-Sep-1994. The technique that was used to create this image is very similar to the technique that was used to create the physical classification of the SSA. The data are provided in a binary image file format. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images.'
    description_attribution: http://daac.ornl.gov//BOREAS/guides/TE18_SSA_Biomass_Dens.html
    display_name: BOREAS TE-18 Biomass Density Image of the SSA
    doi: 10.3334/ORNLDAAC/450
    end_time: 1994-09-02T00:00:00
    identifier: nasa-ornldaac-450
    lat_max: 54.44
    lat_min: 53.31
    lon_max: -104.19
    lon_min: -106.52
    name: BOREAS TE-18 Biomass Density Image of the SSA
    native_id: BOREAS_BIOMDENS
    processing_level: ~
    publication_year: ~
    release_dt: 1999-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1994-09-02T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-450
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=450
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: The objective of this land cover mosaic is to provide a data product that characterises the detailed land cover of a significant portion of the BOREAS Region. Seven Landsat-5 TM images have been assembled to completely cover the BOREAS Transect. Entire TM scenes were used to create this land cover map. A detailed classification scheme was employed, permitting the extraction of virtually all land cover information that can be discerned from digitally enhanced TM images. The data are provided in a binary image format file.'
    description_attribution: http://daac.ornl.gov//BOREAS/FollowOn/guides/dsp01_tm_landcover_doc.html
    display_name: BOREAS Follow-On DSP-01 Landsat TM Land Cover Mosaic of the BOREAS Transect
    doi: 10.3334/ORNLDAAC/588
    end_time: 1998-08-28T00:00:00
    identifier: nasa-ornldaac-588
    lat_max: 57
    lat_min: 52
    lon_max: -96
    lon_min: -107
    name: BOREAS Follow-On DSP-01 Landsat TM Land Cover Mosaic of the BOREAS Transect
    native_id: dsp01_tm
    processing_level: ~
    publication_year: ~
    release_dt: 2001-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1991-08-09T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-588
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=588
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: Existing 30-m land cover Thematic Mapper classification by CCRS was aggregated and reprocessed and are now available at multiple resolutions (10x5 minutes and 30 minutes). These data were regridded for use by the BOREAS Follow-on Carbon and Hydro-Meteorological modeling groups. Characteristics of the individual products are described in the data set guide document.'
    description_attribution: http://daac.ornl.gov//BOREAS/FollowOn/guides/dsp10_landcov_tm_mos_maps.html
    display_name: BOREAS Follow-On DSP-10 Regridded TM Mosaic Land Cover Maps for 1994
    doi: 10.3334/ORNLDAAC/602
    end_time: 1995-01-01T00:00:00
    identifier: nasa-ornldaac-602
    lat_max: 60
    lat_min: 48
    lon_max: -90
    lon_min: -111
    name: BOREAS Follow-On DSP-10 Regridded TM Mosaic Land Cover Maps for 1994
    native_id: dsp10_tm_mosaic
    processing_level: ~
    publication_year: ~
    release_dt: 2001-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1994-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-602
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=602
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).'
    description_attribution: http://daac.ornl.gov//LAND_VAL/guides/Fernandes_LAI.html
    display_name: 'Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada'
    doi: 10.3334/ORNLDAAC/816
    end_time: 2001-12-31T00:00:00
    identifier: nasa-ornldaac-816
    lat_max: 63.1444
    lat_min: 44.2284
    lon_max: -65.0035
    lon_min: -135.05
    name: 'Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada'
    native_id: global_vegetation_LAI_Canada
    processing_level: ~
    publication_year: ~
    release_dt: 2005-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2000-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-816
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=816
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'ABSTRACT: This data set includes Landsat TM scenes from across the Legal Amazon region. A single image is provided for each spatial tile, representing the most cloud-free retrieval from 9/21/86 to 9/17/94. All files are in a single directory, including one band-sequential (bsq) file and one database (ddr) file for each scene.'
    description_attribution: http://daac.ornl.gov//LBA/guides/LC10_Landsat_TM.html
    display_name: 'LBA-ECO LC-10 Landsat TM Data for Legal Amazon: 1986-1994'
    doi: 10.3334/ORNLDAAC/852
    end_time: 1994-09-17T00:00:00
    identifier: nasa-ornldaac-852
    lat_max: 5.23
    lat_min: -19.68
    lon_max: -42.59
    lon_min: -75.18
    name: 'LBA-ECO LC-10 Landsat TM Data for Legal Amazon: 1986-1994'
    native_id: LBA_LC10_TM1986-94
    processing_level: ~
    publication_year: ~
    release_dt: 2007-01-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1986-09-21T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-ornldaac-852
    url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=852
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: 'This data set provides a coastline history of the eastern Amundsen Sea Embayment and terminus histories of its outlet glaciers derived from those coastlines. These outlet glaciers include Smith, Haynes, Thwaites, and Pine Island Glaciers. The coastlines were derived from detailed tracing of Landsat imagery between late 1972 and late 2011 (at a scale of 1:50,000). The data set also uses some additional data from other sources. The terminus histories are calculated as the intersections between these coastlines and 1996 flowlines. Data are available via FTP in ESRI shapefile and comma separated value (.csv) formats.'
    description_attribution: ~
    display_name: 'Coastal and Terminus History of the Eastern Amundsen Sea Embayment, West Antarctica, 1972 - 2011'
    doi: 10.7265/N5CC0XNK
    end_time: 1998-12-31T00:00:00
    identifier: nsidc-0522
    lat_max: -74
    lat_min: -76
    lon_max: -100
    lon_min: -110
    name: 'Coastal and Terminus History of the Eastern Amundsen Sea Embayment, West Antarctica, 1972 - 2011'
    native_id: NSIDC-0522
    processing_level: ~
    publication_year: ~
    release_dt: 2012-05-30T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 1992-01-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nsidc-0522
    url: http://nsidc.org/data/NSIDC-0522
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set is part of the Soil Moisture Experiment 2002 (SMEX02) project, which is associated with the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) validation project. It consists of Vegetation Water Content (VWC) data. VWC was derived from Normalized Difference Water Index (NDWI), which was derived from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper plus (ETM+) imagery. The TM satellite data were acquired during select dates in June and July 2002. These data cover the SMEX02 Walnut Creek watershed and the regional Iowa study areas in Iowa, USA. Data are provided as flat binary files and are available via FTP. Data must be divided by 25.5 to obtain the actual vegetation water content in kg/m<sup>3</sup>. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX02 Vegetation Water Content, Iowa Regional and Walnut Creek Watershed'
    doi: 10.5067/0X2GRYXDM3EA
    end_time: 2003-07-18T00:00:00
    identifier: nasa-nsidcdaac-0189
    lat_max: 42.732
    lat_min: 41.694
    lon_max: -93.161
    lon_min: -93.841
    name: 'SMEX02 Vegetation Water Content, Iowa Regional and Walnut Creek Watershed'
    native_id: NSIDC-0189
    processing_level: ~
    publication_year: ~
    release_dt: 2003-09-30T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-06-25T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0189
    url: http://nsidc.org/data/NSIDC-0189
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set consists of Vegetation Water Content (VWC) data for two Soil Moisture Experiment 2004 (SMEX04) regional study areas: Arizona, USA and Sonora, Mexico. VWC was derived from the Normalized Difference Infrared Index (NDII) which was obtained from Landsat 5 Thematic Mapper (TM) imagery on 29 July 2004 and 30 August 2004. From these overpass images, daily images were generated by linearly interpolating each scene between the nearest available scenes. Individual data values must be divided by 100 to obtain the actual vegetation water content in kg/m2. The total volume for this data set is approximately 3.2 gigabytes. Data are provided as binary files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Vegetation Water Content Data, Arizona'
    doi: 10.5067/ETYMZAA89NBN
    end_time: 2004-08-30T00:00:00
    identifier: nasa-nsidcdaac-0391
    lat_max: 32.69
    lat_min: 29.33
    lon_max: -108.56
    lon_min: -111.4
    name: 'SMEX04 Vegetation Water Content Data, Arizona'
    native_id: NSIDC-0391
    processing_level: ~
    publication_year: ~
    release_dt: 2009-05-15T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-07-29T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0391
    url: http://nsidc.org/data/NSIDC-0391
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set provides imagery developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2004 (SMEX04). Three false color images are provided for the regional study areas in Arizona, USA and Sonora, Mexico for 11 June 2004, 29 July 2004, and 30 August 2004. The images are the result of combining TM bands 2, 3, and 4 as blue, green, and red respectively to generate false color composites. Data are provided in Georeferenced Tagged Image File Format (GeoTIFF) files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Landsat Thematic Mapper Imagery, Arizona'
    doi: 10.5067/R5LI5YA9X8LV
    end_time: 2004-06-11T00:00:00
    identifier: nasa-nsidcdaac-0341
    lat_max: 32.69
    lat_min: 29.33
    lon_max: -108.56
    lon_min: -111.4
    name: 'SMEX04 Landsat Thematic Mapper Imagery, Arizona'
    native_id: NSIDC-0341
    processing_level: ~
    publication_year: ~
    release_dt: 2008-05-15T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-06-11T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0341
    url: http://nsidc.org/data/NSIDC-0341
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set consists of land use classification data collected for the Iowa Soil Moisture Experiment 2002 (SMEX02) study region. The land use classification image provides information about vegetation present in the study area. The classification is derived from Landsat Thematic Mapper (TM) imagery and has a resolution of 30 meters. Data were collected on 14 May 2002, 1 July 2002, and 17 July 2002. Data are provided in a flat binary file, and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX02 Land Surface Information: Land Use Classification'
    doi: 10.5067/6IX22IHXNWBT
    end_time: 2002-07-17T00:00:00
    identifier: nasa-nsidcdaac-0276
    lat_max: 42.04
    lat_min: 41.7
    lon_max: -93.2
    lon_min: -93.8
    name: 'SMEX02 Land Surface Information: Land Use Classification'
    native_id: NSIDC-0276
    processing_level: ~
    publication_year: ~
    release_dt: 2004-01-30T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2002-05-14T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0276
    url: http://nsidc.org/data/NSIDC-0276
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set provides imagery developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03). One false color image is provided for the regional study areas northwest of Tifton, Georgia, USA for 20 July 2003. The image is the result of combining bands 2, 3, and 4 as blue, green, and red to generate false color composites. Data are provided in GeoTIFF formatted files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Landsat Thematic Mapper Imagery: Georgia'
    doi: 10.5067/NWSOGVLENI2J
    end_time: 2003-07-20T00:00:00
    identifier: nasa-nsidcdaac-0327
    lat_max: 31.96
    lat_min: 30.9
    lon_max: -83.36
    lon_min: -83.97
    name: 'SMEX03 Landsat Thematic Mapper Imagery: Georgia'
    native_id: NSIDC-0327
    processing_level: ~
    publication_year: ~
    release_dt: 2007-11-27T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-07-20T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0327
    url: http://nsidc.org/data/NSIDC-0327
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains vegetation water content data of the Ames, Iowa, USA area. Large-scale maps of vegetation water content are necessary for the accurate estimation of surface soil moisture via microwave remote sensing. To support this type of remote sensing during the Soil Moisture Experiment 2005 (SMEX05), a vegetation sampling campaign was conducted in coordination with satellite calibration and correction to result in an estimated map of Vegetation Water Content (VWC). The data were collected on 06 June 2005 and 17 July 2005. The total volume of this data set is approximately 56 megabytes. Data are provided in Band Interleaved by Line (BIL) files with corresponding Environment for Visualizing Images (ENVI) header files, and are available via FTP. The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) is a mission instrument launched aboard NASA's Aqua satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include: assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/index.html
    display_name: 'SMEX05 Vegetation Water Content Data: Iowa'
    doi: 10.5067/SW6SVXZFUXDP
    end_time: 2005-06-06T00:00:00
    identifier: nasa-nsidcdaac-0444
    lat_max: 42.0666
    lat_min: 41.8666
    lon_max: -93.5166
    lon_min: -94.0166
    name: 'SMEX05 Vegetation Water Content Data: Iowa'
    native_id: NSIDC-0444
    processing_level: ~
    publication_year: ~
    release_dt: 2010-01-28T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2005-06-06T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0444
    url: http://nsidc.org/data/NSIDC-0444
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set consists of land use classification data derived from Landsat 5 data for the Soil Moisture Experiment 2003 (SMEX03). Landsat 5 Thematic Mapper (TM) imagery of the Oklahoma, USA SMEX03 study area was retrieved for 10 July 2003 and classified using in situ data collected by sampling teams. High accuracy was achieved with respect to a test data set, and high qualitative accuracy was achieved when comparing the land cover to classification for the Southern Great Plains Experiments of 1997 and 1999, all of which took place in the same region. The land use classification image provides information about vegetation present in the study area at a resolution of 30 meters. Also included is a Microsoft Excel file listing the initial surface conditions for two sampling sites in Oklahoma: Oklahoma South (OS) and Little Washita (LW). The volume of the data set is approximately 97 megabytes. Data are provided in a flat binary file, header file, and a spreadsheet file, and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Land Use Classification Data: Oklahoma'
    doi: 10.5067/ZBH68D2ZJ3JK
    end_time: 2003-07-10T00:00:00
    identifier: nasa-nsidcdaac-0365
    lat_max: 37
    lat_min: 33.6
    lon_max: -96.6
    lon_min: -99.3
    name: 'SMEX03 Land Use Classification Data: Oklahoma'
    native_id: NSIDC-0365
    processing_level: ~
    publication_year: ~
    release_dt: 2009-02-10T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-07-10T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0365
    url: http://nsidc.org/data/NSIDC-0365
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set is comprised of land use classification data necessary for modeling and scaling hydrologic variables as part of the Soil Moisture Experiment of 2004 (SMEX04). Six Landsat 5 Thematic Mapper (TM) scenes for 11 June, 29 July, and 30 August 2004 and one Digital Elevation Model (DEM) were used to construct land use classification for both SMEX04 study regions: Arizona, USA and Sonora, Mexico. The six TM scenes were then atmospherically corrected using moderate resolution atmospheric transmission (MODTRAN) software, and the DEM was used to compute topographic features such as slope and maximum curvature using Environment for Visualizing Images (ENVI) software. Finally, ground truth information collected during the SMEX04 experiment was used for decision tree parameterization and classification. High qualitative accuracy was achieved when comparing ground data with a SMEX04 classification image covering the same study regions (Yilmaz et al., 2007). The total volume for this data set is approximately 100 megabytes. Data are provided in a single 8-bit binary file and an associated ENVI header file, and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Land Use Classification Data, Arizona'
    doi: 10.5067/A5WPQNTVMCCK
    end_time: 2004-08-30T00:00:00
    identifier: nasa-nsidcdaac-0409
    lat_max: 32.7
    lat_min: 29.3
    lon_max: -108.6
    lon_min: -111.4
    name: 'SMEX04 Land Use Classification Data, Arizona'
    native_id: NSIDC-0409
    processing_level: ~
    publication_year: ~
    release_dt: 2009-07-29T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-08-30T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0409
    url: http://nsidc.org/data/NSIDC-0409
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03). Data acquired on 20 July 2003 were used to create large-scale maps of the NDVI and NDWI for both northern and southern Georgia, USA regional study areas in order to accurately estimate the surface soil moisture via microwave remote sensing. These data are uncorrected for the atmosphere and should not be compared to long term data records of vegetation. Data are in flat, four-byte binary format and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Landsat Thematic Mapper NDVI and NDWI: Georgia'
    doi: 10.5067/B9IT2PCYAQBL
    end_time: 2003-07-20T00:00:00
    identifier: nasa-nsidcdaac-0330
    lat_max: 31.90326
    lat_min: 30.96107
    lon_max: -83.36425
    lon_min: -83.97085
    name: 'SMEX03 Landsat Thematic Mapper NDVI and NDWI: Georgia'
    native_id: NSIDC-0330
    processing_level: ~
    publication_year: ~
    release_dt: 2007-04-05T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-07-20T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0330
    url: http://nsidc.org/data/NSIDC-0330
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data for use in studying land cover features during the Soil Moisture Experiment 2004 (SMEX04). Data acquired on 11 June, 29 July, and 30 August 2004 were used to create large-scale maps of NDVI and NDWI in order to accurately estimate the surface soil moisture via microwave remote sensing. Regional study areas include Arizona, USA and Sonora, Mexico. These data are uncorrected for the atmosphere and should not be compared to long-term data records of vegetation. The total volume for this data set is approximately 16 gigabytes. Data are in flat, eight-bit binary format and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Landsat TM/ETM+ NDVI and NDWI, Arizona'
    doi: 10.5067/C8ACHJL21ODJ
    end_time: 2004-08-30T00:00:00
    identifier: nasa-nsidcdaac-0387
    lat_max: 32.7
    lat_min: 29.3
    lon_max: -108.6
    lon_min: -111.4
    name: 'SMEX04 Landsat TM/ETM+ NDVI and NDWI, Arizona'
    native_id: NSIDC-0387
    processing_level: ~
    publication_year: ~
    release_dt: 2009-05-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-08-30T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0387
    url: http://nsidc.org/data/NSIDC-0387
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03). Data acquired on 10 July 2003 were used to create large-scale maps of the NDVI and NDWI for both northern and southern Oklahoma, USA regional study areas in order to accurately estimate the surface soil moisture via microwave remote sensing. Data are in flat, 8-bit binary format and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/index.html
    display_name: 'SMEX03 Landsat Thematic Mapper NDVI and NDWI: Oklahoma'
    doi: 10.5067/8KJFN9XOV23M
    end_time: 2003-07-10T00:00:00
    identifier: nasa-nsidcdaac-0332
    lat_max: 35.39
    lat_min: 34.49
    lon_max: -97.76
    lon_min: -98.29
    name: 'SMEX03 Landsat Thematic Mapper NDVI and NDWI: Oklahoma'
    native_id: NSIDC-0332
    processing_level: ~
    publication_year: ~
    release_dt: 2008-03-10T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-07-10T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0332
    url: http://nsidc.org/data/NSIDC-0332
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set is a subset of data acquired from the United States Geological Survey's (USGS) National Land Cover Dataset (NLCD). The NLCD is comprised of Landsat data collected during 2001 that are representative of the land cover conditions present in the Georgia, USA regional study area during the Soil Moisture Experiment of 2003 (SMEX03). The data were exported from NLCD 2001 with Environmental Research Systems Institute (ESRI) ArcMap software and are provided in one ASCII text file. The volume of the data file is approximately 19 megabytes, and the file is available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Land Use Classification Data: Georgia'
    doi: 10.5067/KPF4RZ8PFPZ0
    end_time: 2003-07-31T00:00:00
    identifier: nasa-nsidcdaac-0364
    lat_max: 31.90326
    lat_min: 30.96107
    lon_max: -83.36425
    lon_min: -83.97085
    name: 'SMEX03 Land Use Classification Data: Georgia'
    native_id: NSIDC-0364
    processing_level: ~
    publication_year: ~
    release_dt: 2009-02-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-06-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0364
    url: http://nsidc.org/data/NSIDC-0364
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set consists of land surface brightness temperatures (T<sub>B</sub>s) derived from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper+ (ETM+) thermal bands. The Landsat data coincided with the SMEX02 campaign and were acquired once per day on 23 June, 1 July, 8 July, 16 July, and 17 July 2002 over the Walnut Creek watershed, Iowa, USA. The data collectively cover 41.69&deg; N to 42.73&deg; N and 93.16&deg; W to 93.84&deg; N. Landsat 7 ETM+ data have 60 m spatial resolution. Landsat 5 TM data have 30 m spatial resolution. The investigators used the MODTRAN 4.1 radiative transfer model to correct the original Level-1G radiances for atmospheric effects; then they converted radiances to TBs. Data are unsigned integer, band-interleaved-by-line (BIL), binary values, scaled by 100. Data are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: SMEX02 Landsat 5 and 7 Thematic Mapper Land Surface Brightness Temperatures
    doi: 10.5067/SFENVFY5CSE5
    end_time: 2002-07-17T00:00:00
    identifier: nasa-nsidcdaac-0241
    lat_max: 42.7
    lat_min: 41.7
    lon_max: -93.2
    lon_min: -93.8
    name: SMEX02 Landsat 5 and 7 Thematic Mapper Land Surface Brightness Temperatures
    native_id: NSIDC-0241
    processing_level: ~
    publication_year: ~
    release_dt: 2004-08-04T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2002-06-23T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0241
    url: http://nsidc.org/data/NSIDC-0241
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set provides imagery developed from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper (ETM+) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03). Three false color images are provided for the regional study areas in Huntsville, Alabama, USA for 7 July 2002 (eastern portion) and 23 June 2003 (western portion). The images are the result of combining bands 2, 3, and 4 as blue, green, and red to generate false color composites. Data are provided in GeoTIFF formatted files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/index.html
    display_name: 'SMEX03 Landsat Thematic Mapper Imagery: Alabama'
    doi: 10.5067/QL4HIMU3TQ3U
    end_time: 2003-06-23T00:00:00
    identifier: nasa-nsidcdaac-0331
    lat_max: 35.2
    lat_min: 34.6
    lon_max: -85.7
    lon_min: -87.1
    name: 'SMEX03 Landsat Thematic Mapper Imagery: Alabama'
    native_id: NSIDC-0331
    processing_level: ~
    publication_year: ~
    release_dt: 2007-12-07T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-06-23T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0331
    url: http://nsidc.org/data/NSIDC-0331
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set is part of the Soil Moisture Experiment 2002 (SMEX02) project, which is associated with the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) validation project. It consists of Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data, derived from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper plus (ETM+) imagery. The satellite data were acquired during select dates in June and July 2002. These data cover the SMEX02 Walnut Creek watershed and the regional Iowa study areas in south-central Iowa, USA. Data are provided as flat binary files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: SMEX02 Iowa Satellite Vegetation and Water Index (NDVI and NDWI) Data
    doi: 10.5067/2R7KUXDQ3S44
    end_time: 2002-07-17T00:00:00
    identifier: nasa-nsidcdaac-0184
    lat_max: 42.732
    lat_min: 41.694
    lon_max: -93.161
    lon_min: -93.827
    name: SMEX02 Iowa Satellite Vegetation and Water Index (NDVI and NDWI) Data
    native_id: NSIDC-0184
    processing_level: ~
    publication_year: ~
    release_dt: 2003-08-29T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2002-06-06T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0184
    url: http://nsidc.org/data/NSIDC-0184
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set provides imagery developed from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper (ETM+) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03). Three false color images are provided for the regional study areas north and south of Oklahoma City, Oklahoma, USA for 13 April, 29 April, and 10 July 2003. The images are the result of combining bands 2, 3, and 4 as blue, green, and red to generate false color composites. Data are provided in GeoTIFF formatted files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Landsat Thematic Mapper Imagery: Oklahoma'
    doi: 10.5067/LG4W1RGPEA4I
    end_time: 2003-04-13T00:00:00
    identifier: nasa-nsidcdaac-0322
    lat_max: 36.88
    lat_min: 34.42
    lon_max: -97.42
    lon_min: -98.34
    name: 'SMEX03 Landsat Thematic Mapper Imagery: Oklahoma'
    native_id: NSIDC-0322
    processing_level: ~
    publication_year: ~
    release_dt: 2007-11-19T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-04-13T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0322
    url: http://nsidc.org/data/NSIDC-0322
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set combines various ancillary data (geolocation, surface roughness, and photographs) collected for the Iowa Soil Moisture Experiment 2002 (SMEX02) study region. The geolocation files provide geographic coordinates for the SMEX02 test sites, study areas, and instrumentation. The surface roughness data are derived from photographs taken at representative watershed sampling locations. The photographs were taken in the field at various locations during the experiments. Data are provided in ASCII text files and JPEG image files, and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX02 Land Surface Information: Geolocation, Surface Roughness, and Photographs'
    doi: 10.5067/R9AA6FC58HES
    end_time: 2002-07-12T00:00:00
    identifier: nasa-nsidcdaac-0204
    lat_max: 42.66
    lat_min: 41.7
    lon_max: -93.2
    lon_min: -93.8
    name: 'SMEX02 Land Surface Information: Geolocation, Surface Roughness, and Photographs'
    native_id: NSIDC-0204
    processing_level: ~
    publication_year: ~
    release_dt: 2004-01-30T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2002-06-22T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0204
    url: http://nsidc.org/data/NSIDC-0204
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This ancillary data set consists of geographic coordinates for the Soil Moisture Experiment 2003 (SMEX03). In all, fourteen sets of geolocation data are provided for instrumentation and test sites in the SMEX03 North American regional study area of Oklahoma, USA. These geolocation data were acquired during June and July 2003 from a variety of sources, including Landsat Thematic Mapper (TM) imagery, field Global Positioning System (GPS) measurements, and aircraft navigation records. The volume of the data set is approximately 129 kilobytes. Data are provided in tab-delimited ASCII text files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Geolocation Information: Oklahoma'
    doi: 10.5067/88HRIQUYP6VO
    end_time: 2003-07-01T00:00:00
    identifier: nasa-nsidcdaac-0366
    lat_max: 36.86
    lat_min: -36.11
    lon_max: 97.42
    lon_min: -98.03
    name: 'SMEX03 Geolocation Information: Oklahoma'
    native_id: NSIDC-0366
    processing_level: ~
    publication_year: ~
    release_dt: 2009-02-01T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-07-01T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0366
    url: http://nsidc.org/data/NSIDC-0366
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set consists of Vegetation Water Content (VWC) data for two Soil Moisture Experiment 2003 (SMEX03) regional study areas, Oklahoma North and Oklahoma South. VWC was derived from the Normalized Difference Water Index (NDWI) which was obtained from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper (ETM+) imagery. Though Landsat satellite data were acquired for multiple dates, data acquired on 10 July 2003 were selected as providing ideal conditions for the estimation of VWC. Data are provided as flat binary files and are available via FTP. Individual data values must be divided by 32 to obtain the actual vegetation water content in kg/m2. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: http://nsidc.org/data/amsr_validation/
    display_name: 'SMEX03 Vegetation Water Content: Oklahoma'
    doi: 10.5067/QYK7U1X3VCJ0
    end_time: 2003-07-10T00:00:00
    identifier: nasa-nsidcdaac-0369
    lat_max: 35.39
    lat_min: 34.49
    lon_max: -97.76
    lon_min: -98.29
    name: 'SMEX03 Vegetation Water Content: Oklahoma'
    native_id: NSIDC-0369
    processing_level: ~
    publication_year: ~
    release_dt: 2009-02-18T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2003-07-10T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0369
    url: http://nsidc.org/data/NSIDC-0369
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "This data set provides imagery developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2004 (SMEX04). Three false color images are provided for the regional study areas in Arizona, USA and Sonora, Mexico for 11 June 2004, 29 July 2004, and 30 August 2004. The images are the result of combining TM bands 2, 3, and 4 as blue, green, and red respectively to generate false color composites. Data are provided in Georeferenced Tagged Image File Format (GeoTIFF) files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Landsat Thematic Mapper Imagery, Sonora'
    doi: 10.5067/5RSOL3F0VBBO
    end_time: 2004-06-11T00:00:00
    identifier: nasa-nsidcdaac-0565
    lat_max: 32.69
    lat_min: 29.33
    lon_max: -108.56
    lon_min: -111.4
    name: 'SMEX04 Landsat Thematic Mapper Imagery, Sonora'
    native_id: NSIDC-0565
    processing_level: ~
    publication_year: ~
    release_dt: 2013-11-14T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-06-11T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0565
    url: http://nsidc.org/data/NSIDC-0565
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data for use in studying land cover features during the Soil Moisture Experiment 2004 (SMEX04). Data acquired on 11 June, 29 July, and 30 August 2004 were used to create large-scale maps of NDVI and NDWI in order to accurately estimate the surface soil moisture via microwave remote sensing. Regional study areas include Arizona, USA and Sonora, Mexico. These data are uncorrected for the atmosphere and should not be compared to long-term data records of vegetation. The total volume for this data set is approximately 16 gigabytes. Data are in flat, eight-bit binary format and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Landsat TM/ETM+ NDVI and NDWI, Sonora'
    doi: 10.5067/D5AZZMJ1LO05
    end_time: 2004-06-11T00:00:00
    identifier: nasa-nsidcdaac-0571
    lat_max: 32.7
    lat_min: 29.3
    lon_max: -108.6
    lon_min: -111.4
    name: 'SMEX04 Landsat TM/ETM+ NDVI and NDWI, Sonora'
    native_id: NSIDC-0571
    processing_level: ~
    publication_year: ~
    release_dt: 2013-11-14T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-06-11T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0571
    url: http://nsidc.org/data/NSIDC-0571
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set is comprised of land use classification data necessary for modeling and scaling hydrologic variables as part of the Soil Moisture Experiment of 2004 (SMEX04). Six Landsat 5 Thematic Mapper (TM) scenes for 11 June, 29 July, and 30 August 2004 and one Digital Elevation Model (DEM) were used to construct land use classification for both SMEX04 study regions: Arizona, USA and Sonora, Mexico. The six TM scenes were then atmospherically corrected using moderate resolution atmospheric transmission (MODTRAN) software, and the DEM was used to compute topographic features such as slope and maximum curvature using Environment for Visualizing Images (ENVI) software. Finally, ground truth information collected during the SMEX04 experiment was used for decision tree parameterization and classification. High qualitative accuracy was achieved when comparing ground data with a SMEX04 classification image covering the same study regions (Yilmaz et al., 2007). The total volume for this data set is approximately 100 megabytes. Data are provided in a single 8-bit binary file and an associated ENVI header file, and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Land Use Classification Data, Sonora'
    doi: 10.5067/CQB2D9ABRJVH
    end_time: 2004-06-11T00:00:00
    identifier: nasa-nsidcdaac-0578
    lat_max: 32.7
    lat_min: 29.3
    lon_max: -108.6
    lon_min: -111.4
    name: 'SMEX04 Land Use Classification Data, Sonora'
    native_id: NSIDC-0578
    processing_level: ~
    publication_year: ~
    release_dt: 2013-11-14T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-06-11T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0578
    url: http://nsidc.org/data/NSIDC-0578
    variables: ~
    version: ~
    vertical_extent: ~
  - access_dt: ~
    attributes: ~
    cite_metadata: ~
    data_qualifier: ~
    description: "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set consists of Vegetation Water Content (VWC) data for two Soil Moisture Experiment 2004 (SMEX04) regional study areas: Arizona, USA and Sonora, Mexico. VWC was derived from the Normalized Difference Infrared Index (NDII) which was obtained from Landsat 5 Thematic Mapper (TM) imagery on 29 July 2004 and 30 August 2004. From these overpass images, daily images were generated by linearly interpolating each scene between the nearest available scenes. Individual data values must be divided by 100 to obtain the actual vegetation water content in kg/m2. The total volume for this data set is approximately 3.2 gigabytes. Data are provided as binary files and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements."
    description_attribution: ~
    display_name: 'SMEX04 Vegetation Water Content Data, Sonora'
    doi: 10.5067/O4NOTHLE2F1V
    end_time: 2004-08-30T00:00:00
    identifier: nasa-nsidcdaac-0556
    lat_max: 32.69
    lat_min: 29.33
    lon_max: -108.56
    lon_min: -111.4
    name: 'SMEX04 Vegetation Water Content Data, Sonora'
    native_id: NSIDC-0556
    processing_level: ~
    publication_year: ~
    release_dt: 2013-11-14T00:00:00
    scale: ~
    scope: ~
    spatial_extent: ~
    spatial_ref_sys: ~
    spatial_res: ~
    start_time: 2004-07-29T00:00:00
    temporal_extent: ~
    temporal_resolution: ~
    type: dataset
    uri: /dataset/nasa-nsidcdaac-0556
    url: http://nsidc.org/data/NSIDC-0556
    variables: ~
    version: ~
    vertical_extent: ~
display_name: landsat-5/thematic-mapper
href: http://52.38.26.42:8080/platform/landsat-5/instrument/thematic-mapper.yaml
instrument_identifier: thematic-mapper
location: ~
parents: []
platform_identifier: landsat-5
type: instrument_instance
uri: /platform/landsat-5/instrument/thematic-mapper