---
cited_by: []
datasets:
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set consists of Lansat thematic mapper imagergy collected over the Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA), located between 104-108.5 W and 38.5-42 N. Data were collected between 10 November 2001 and 9 January 2003, using the Enhanced Thematic Mapper Plus sensor (ETM+) on Landsat 7 and the Thematic Mapper (TM) sensor on Landsat 5. Data consist of Level 1G imagery products (radiance) that have been radiometrically and geometrically corrected. Each band of Landsat data in the GeoTIFF format is delivered as a greyscale, uncompressed, 8-bit string of unsigned integers. This data set is part of the NASA CLPX NASA CLPX is a multi-sensor, multi-scale experiment that focuses on extending a local-scale understanding of water fluxes, storage, and transformations to regional and global scales. Within a framework of nested study areas in the central Rocky Mountains of the western United States, ranging from 1-ha to 160,000 km2, intensive ground, airborne, and spaceborne observations are collected. Data collection focuses on two seasons: mid-winter, when conditions are generally frozen and dry, and early spring, a transitional period when both frozen and thawed, dry and wet conditions are widespread.'
description_attribution: ~
display_name: 'CLPX-Satellite: Landsat Thematic Mapper Imagery'
doi: 10.5067/HUPUO3FCF965
end_time: 2003-01-09T00:00:00
identifier: nasa-nsidcdaac-0149
lat_max: 41.3098
lat_min: 39.34853
lon_max: -104.51927
lon_min: -107.23799
name: 'CLPX-Satellite: Landsat Thematic Mapper Imagery'
native_id: NSIDC-0149
processing_level: ~
publication_year: ~
release_dt: 2003-08-21T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 2001-11-10T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0149
url: http://nsidc.org/data/NSIDC-0149
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 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/m3. 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: "This data set provides imagery developed from Landsat 5 and 7 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2002 (SMEX02). The images are the result of combining bands 4, 3, and 2 as red, green, and blue to generate false-color composites. This study was conducted during June and July 2002 in the area of the Ames, Iowa, USA. One false-color image is provided for each day. Data are provided in Georeferenced Tagged Image File Format (GeoTIFF) formatted files and TIFF world files (TFW), 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 Landsat Thematic Mapper Imagery, Iowa'
doi: 10.5067/8QWI10VRE06I
end_time: 2002-06-17T00:00:00
identifier: nasa-nsidcdaac-0199
lat_max: 42.7
lat_min: 41.7
lon_max: -93.2
lon_min: -93.8
name: 'SMEX02 Landsat Thematic Mapper Imagery, Iowa'
native_id: NSIDC-0199
processing_level: ~
publication_year: ~
release_dt: 2003-12-10T00:00:00
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-0199
url: http://nsidc.org/data/NSIDC-0199
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: "This data set consists of land surface brightness temperatures (TBs) 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° N to 42.73° N and 93.16° W to 93.84° 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 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) 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 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: "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: 'The Hydrologic Outlets of the Greenland Ice Sheet data set contains GIS point shapefiles that include 891 observed and potential hydrologic outlets of the Greenland Ice Sheet, as identified by Lewis and Smith (2009), using satellite imagery. There are 460 observed hydrologic outlets that include proglacial streams and rivers emerging from the ice sheet (length scale >1 km), proglacial lakes touching the ice edge or clearly connected to it via streams or rivers (length scale >3 km), and sediment-rich plumes exiting tidewater glaciers into fjords. Also, there are 431 potential hydrologic outlets that include point locations with release of meltwater from fjords without obvious sediment discharge, as well as locations where the ice sheet directly connects to the ocean that cannot be proven to release meltwater. Meltwater features along the entire edge of the ice sheet were mapped via photo interpretation of GoogleEarth and Landsat ETM+ 15 m panchromatic data. The exact acquisition dates of the imagery are not available; however, owing to the light and relatively snow-free conditions seen in the GoogleEarth and Landsat images, it is presumed that they were taken during the summer season. Neither Landsat or GoogleEarth images were available for a section of ice sheet within the northern Tunu region; therefore, that region was excluded from the study. This excluded area represents approximately 0.9 percent of the ice sheet perimeter. Data are available via FTP, and can be read in any GIS software. The following journal article provides documentation for this data set: Lewis, Sarah and Laurence Smith. 2009. Hydrologic Drainage of the Greenland Ice Sheet. Hydrological Processes doi: 10.1002/hyp.7343. This journal article can be accessed from the Documentation link at the top of this Web page.'
description_attribution: http://nsidc.org/data/parca/index.html
display_name: Hydrologic Outlets of the Greenland Ice Sheet
doi: 10.5067/NBBVU83OJYY1
end_time: 2000-12-31T00:00:00
identifier: nasa-nsidcdaac-0372
lat_max: 85.02649
lat_min: 59.58015
lon_max: -8.96739
lon_min: -80.79734
name: Hydrologic Outlets of the Greenland Ice Sheet
native_id: NSIDC-0372
processing_level: ~
publication_year: ~
release_dt: 2009-06-07T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1991-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0372
url: http://nsidc.org/data/NSIDC-0372
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 Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery of the Bering Sea and Chukchi Sea areas to complement the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign conducted in March 2003. The 150 m resolution images correspond to the panchromatic band (band 8), and were collected on 13, 15, 20, and 22 March 2003. The total volume of this data set is approximately 161 megabytes. Data are provided in binary image files with corresponding ENVI header 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."
description_attribution: http://nsidc.org/data/amsre/index.html
display_name: AMSRIce03 Landsat-7 ETM+ Imagery
doi: 10.5067/HU2211W0K0RY
end_time: 2003-03-22T00:00:00
identifier: nasa-nsidcdaac-0431
lat_max: 74
lat_min: 58
lon_max: -145
lon_min: -175
name: AMSRIce03 Landsat-7 ETM+ Imagery
native_id: NSIDC-0431
processing_level: ~
publication_year: ~
release_dt: 2009-11-12T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 2003-03-22T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0431
url: http://nsidc.org/data/NSIDC-0431
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'ABSTRACT: This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from NASA’s Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty. Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide. Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.'
description_attribution: http://daac.ornl.gov//NACP/guides/NA_Tree_Age.html
display_name: NACP Forest Age Maps at 1-km Resolution for Canada (2004) and the U.S.A. (2006)
doi: 10.3334/ORNLDAAC/1096
end_time: 2006-12-31T00:00:00
identifier: nasa-ornldaac-1096
lat_max: 67.008
lat_min: 7.7126
lon_max: -39.866
lon_min: 179.251
name: NACP Forest Age Maps at 1-km Resolution for Canada (2004) and the U.S.A. (2006)
native_id: NA_TREEAGE
processing_level: ~
publication_year: ~
release_dt: 2012-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1950-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-ornldaac-1096
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1096
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: The NBCD 2000 (National Biomass and Carbon Dataset for the Year 2000) data set provides a high-resolution (30 m) map of year-2000 baseline estimates of basal area-weighted canopy height, aboveground live dry biomass, and standing carbon stock for the conterminous United States. This data set distributes, for each of 66 map zones, a set of six raster files in GeoTIFF format. There is a detailed README companion file for each map zone. There is also an ArcGIS shapefile (mapping_zone_shapefile.shp) with the boundaries of all the map zones. A mosaic image of biomass at 240 m resolution for the whole conterminous U.S. is also included. Please read this important note regarding the differences of Version 2 from Version 1 of the NBCD 2000 data. With Version 1, in some mapping zones, certain land cover types (in particular Shrubs, NLCD Type 52) were missing from and unaccounted for in modeled estimates because of a lack of reference data. In Version 1, when landcover types were missing in the models, the model for the deciduous tree cover type was applied. While more woody vegetation was mapped, the authors think this had little effect on model performance as in most cases NLCD version 1 cover type was not a strong predictor of modeled estimates (See companion Mapping Zone Readme files). In Version 2, after renewed modeling efforts and user feedback, these previously unaccounted for cover types are now included in modeled estimates. All 66 mapping zones were updated with the previously unmapped land cover types now mapped. The authors recommend use of the new version for all analyses and will only support the updated version. Development of the data set used an empirical modeling approach that combined USDA Forest Service Forest Inventory and Analysis (FIA) data with high-resolution InSAR data acquired from the 2000 Shuttle Radar Topography Mission (SRTM) and optical remote sensing data acquired from the Landsat ETM+ sensor. Three-season Landsat ETM+ data were systematically compiled by the Multi-Resolution Land Characteristics Consortium (MRLC) between 1999 and 2002 for the entire U.S. and were the foundation for development of both the USGS National Land Cover Dataset 2001 (NLCD 2001) and the Landscape Fire and Resource Management Planning Tools Project (LANDFIRE). Products from both the NLCD 2001 (landcover and canopy density) and LANDFIRE (existing vegetation type) projects as well as topographic information from the USGS National Elevation Dataset (NED) were used within the NBCD 2000 project as spatial predictor layers for canopy height and biomass estimation. Forest survey data provided by the USDA Forest Service FIA program were made available to the project under a national Memorandum of Understanding. The response variables (canopy height and biomass) used in model development and validation were derived from the FIA database (FIADB). Production of the NLCD 2001 and LANDFIRE projects was based on a mapping zone approach in which the conterminous U.S. was split into 66 ecoregionally distinct mapping zones. This mapping zone approach was also adopted by the NBCD 2000 project.'
description_attribution: http://daac.ornl.gov//NACP/guides/NBCD_2000_V2.html
display_name: 'NACP Aboveground Biomass and Carbon Baseline Data, V.2 (NBCD 2000), U.S.A., 2000'
doi: 10.3334/ORNLDAAC/1161
end_time: 2002-12-31T00:00:00
identifier: nasa-ornldaac-1161
lat_max: 49.79
lat_min: 26.52
lon_max: -67.96
lon_min: -126.46
name: 'NACP Aboveground Biomass and Carbon Baseline Data, V.2 (NBCD 2000), U.S.A., 2000'
native_id: NBCD2000_V2
processing_level: ~
publication_year: ~
release_dt: 2013-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1999-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-ornldaac-1161
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1161
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 BigFoot project gathered leaf area index (LAI) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. LAI was measured at plots within each site for at least two years using standard direct and optical methods at each site. Direct measurement approaches included periodic area harvest for non-forest sites and application of allometric equations to tree diameter data for forest sites. LAI was also estimated indirectly using the Li-Cor LAI-2000 Plant Canopy Analyzers (Gower et al. 1999). LAI was measured three times each year at the forest sites and four to six times at other sites depending upon the phenology of LAI development for a given ecosystem. To develop LAI surfaces at any given site, the Landsat ETM+ image closest in date to maximum LAI was chosen as a reference and images from other dates radiometrically normalized to it. Each LAI surface has a grain of 25 meters and covers a 7 x 7 km extent. The data set consists of the LAI surface images in standard geotiff format, an accompanying text file which provides metadata specific to the image (such as projection, data type, class names, etc), and associated auxiliary and world files. Additional information on LAI measurements and surface development can be found on the BigFoot website at http://www.fsl.orst.edu/larse/bigfoot/ovr_mthd.html. BigFoot Project Background: Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellite Terra (http://landval.gsfc.nasa.gov/MODIS/index.php), is used to produce several science products including land cover, leaf area index (LAI) and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. To do this, BigFoot combined ground measurements, additional high resolution remote sensing data, and ecosystem process models at nine flux tower sites representing different biomes to evaluate the effects of the spatial and temporal patterns of ecosystem characteristics on MODIS products. BigFoot characterized up to a 7 x 7 km area (49 MODIS pixels) surrounding the CO2 flux towers located at each of the nine sites. We collected multi-year, in situ measurements of ecosystem structure and functional characteristics related to the terrestrial carbon cycle. Our sampling design allowed us to examine scales and spatial pattern of these properties, the inter-annual variability and validity of MODIS products, and provided for a field-based ecological characterization of the flux tower footprint. BigFoot was funded by NASA's Terrestrial Ecology Program."
description_attribution: http://daac.ornl.gov//BIGFOOT_VAL/guides/bf_lai_surf_guide.html
display_name: 'BigFoot Leaf Area Index Surfaces for North and South American Sites, 2000-2003'
doi: 10.3334/ORNLDAAC/747
end_time: 2003-12-31T00:00:00
identifier: nasa-ornldaac-747
lat_max: 71.2719
lat_min: -2.86
lon_max: -54.96
lon_min: -156.613
name: 'BigFoot Leaf Area Index Surfaces for North and South American Sites, 2000-2003'
native_id: bigfoot_lai
processing_level: ~
publication_year: ~
release_dt: 2006-01-01T00:00:00
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-747
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=747
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: "ABSTRACT: The BigFoot project gathered data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. These surfaces were produced from Landsat ETM+ imagery to explicitly characterize the land cover at the BigFoot Sites to provide validation of the MODIS land cover product. The land cover scheme is consistent with the categories defined by the MOD12 IGBP (http://geography.bu.edu/landcover/userguidelc/index.html) strategy. Each BigFoot land cover product covers approximately a 7 x 7 km extent and consists of the land cover surface image in standard geotiff format, an accompanying text file which provides metadata specific to the image (such as projection, data type, class names, etc), and associated auxiliary and world files. For an in depth discussion of methods used to produce these surfaces, please see references.Additional information on land cover surface development can be found on the BigFoot website at http://www.fsl.orst.edu/larse/bigfoot/ovr_mthd.html.BigFoot Project Background:Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellite Terra (http://landval.gsfc.nasa.gov/MODIS/index.php), is used to produce several science products including land cover, leaf area index (LAI) and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. To do this, BigFoot combined ground measurements, additional high resolution remote sensing data, and ecosystem process models at nine flux tower sites representing different biomes to evaluate the effects of the spatial and temporal patterns of ecosystem characteristics on MODIS products. BigFoot characterized up to a 7 x 7 km area (49 MODIS pixels) surrounding the CO2 flux towers located at each of the nine sites. We collected multi-year, in situ measurements of ecosystem structure and functional characteristics related to the terrestrial carbon cycle. Our sampling design allowed us to examine scales and spatial pattern of these properties, the inter-annual variability and validity of MODIS products, and provided for a field-based ecological characterization of the flux tower footprint. BigFoot was funded by NASA's Terrestrial Ecology Program."
description_attribution: http://daac.ornl.gov//BIGFOOT_VAL/guides/bf_landcover_surf_guide.html
display_name: 'BigFoot Land Cover Surfaces for North and South American Sites, 2000-2003'
doi: 10.3334/ORNLDAAC/748
end_time: 2003-12-31T00:00:00
identifier: nasa-ornldaac-748
lat_max: 71.2719
lat_min: -2.86
lon_max: -54.96
lon_min: -156.613
name: 'BigFoot Land Cover Surfaces for North and South American Sites, 2000-2003'
native_id: bigfoot_landcove
processing_level: ~
publication_year: ~
release_dt: 2006-01-01T00:00:00
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-748
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=748
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: A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing."
description_attribution: http://daac.ornl.gov//S2K/guides/ali_etm_pair.html
display_name: 'SAFARI 2000 ALI/ETM+ Tandem Image Pair for Skukuza, South Africa, May 2001'
doi: 10.3334/ORNLDAAC/821
end_time: 2001-05-30T00:00:00
identifier: nasa-ornldaac-821
lat_max: -23.5902
lat_min: -25.5025
lon_max: 33.1174
lon_min: 30.7568
name: 'SAFARI 2000 ALI/ETM+ Tandem Image Pair for Skukuza, South Africa, May 2001'
native_id: S2K_RS_ALI_ETM_PAIR
processing_level: ~
publication_year: ~
release_dt: 2005-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 2001-05-30T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-ornldaac-821
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=821
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: 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 orthorectified Landsat ETM+ scenes across the Legal Amazon region. At least one scene is provided for each spatial tile, representing the most cloud-free retrievals from mid-1999 through late 2001 (Fig. 1). Dates are therefore not continuous but include scenes from July 8, 1999 to November 13, 2001. Data have been atmospherically corrected and orthorectified. The individual images should be highly useful as they include very little cloud cover, but they should not be mosaicked together since retrieval dates vary.Data files (and format) included for each scene are: six multispectral bands (tif), two thermal bands (tif), one panchromatic band (tif), two preview files (jpg), and one metadata file (txt). The individual Geotiff files have been g-zipped and subsequently all of the files for a scene have been g-zipped together for ordering convenience.'
description_attribution: http://daac.ornl.gov//LBA/guides/LC10_Landsat_ETM.html
display_name: 'LBA-ECO LC-10 Orthorectified Landsat ETM+ Data for Legal Amazon: 1999-2001'
doi: 10.3334/ORNLDAAC/846
end_time: 2001-11-13T00:00:00
identifier: nasa-ornldaac-846
lat_max: 5.25
lat_min: -24.01
lon_max: -43.83
lon_min: -73.65
name: 'LBA-ECO LC-10 Orthorectified Landsat ETM+ Data for Legal Amazon: 1999-2001'
native_id: LBA-ECO_LC10_ETM
processing_level: ~
publication_year: ~
release_dt: 2007-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1999-07-08T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-ornldaac-846
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=846
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: "Global Land Ice Measurements from Space (GLIMS) is an international project with the goal of surveying a majority of the world's estimated 160,000 glaciers. GLIMS uses data collected primarily by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument aboard the Terra satellite and the LANDSAT Enhanced Thematic Mapper Plus (ETM+), along with historical observations. The GLIMS project is currently creating a unique glacier inventory, storing information about the extent and rates of change of all the world's glacial resources. GLIMS consists of many institutions called Regional Centers, who produce glacier analyses for their particular region. The GLIMS Glacier Database provides students, educators, scientists, and the public with reliable glacier data from these analyses. New glacier data are continually being added to the database. The GLIMS Glacier Viewer Web Mapping Service (WMS) was developed to provide the public with easy access to the GLIMS Glacier Database. This WMS allows users to view and query several thematic layers, including glacier outlines, ASTER footprints, Regional Center locations, and the World Glacier Inventory. Query results can be downloaded into a number of GIS-compatible formats, including ESRI Shapefiles, MapInfo tables, and Geographic Mark-up Language (GML). Please note, the citation below is a general citation for the entire GLIMS data collection. If you download data, please use the appropriate citation(s) listed in the file called 'CITATIONS_nnnn.txt' (where nnnn is a number) for the specific GLIMS data you use."
description_attribution: http://www.glims.org/
display_name: GLIMS Glacier Database
doi: 10.7265/N5V98602
end_time: ~
identifier: nsidc-0272
lat_max: 90
lat_min: -90
lon_max: 180
lon_min: -180
name: GLIMS Glacier Database
native_id: NSIDC-0272
processing_level: ~
publication_year: ~
release_dt: 2005-06-21T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1850-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nsidc-0272
url: http://nsidc.org/data/NSIDC-0272
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set provides grounding line and hydrostatic line locations for the Antarctic coastline and islands around Antarctica. The data are derived using customized software to combine data from Landsat-7 imagery and Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry, which were primarily collected between 1999 to 2003. The data set also includes elevations along each line, selected from six candidate digital elevation models. The data were developed as part of the Antarctic Surface Accumulation and Ice Discharge (ASAID) project. Data are available via FTP, provided in both ASCII text (.txt) and shapefile (.shp, .dbf, .shx) formats.'
description_attribution: ~
display_name: High-resolution Image-derived Grounding and Hydrostatic Lines for the Antarctic Ice Sheet
doi: 10.7265/N56T0JK2
end_time: 2003-12-31T00:00:00
identifier: nsidc-0489
lat_max: -60
lat_min: -80
lon_max: 180
lon_min: -180
name: High-resolution Image-derived Grounding and Hydrostatic Lines for the Antarctic Ice Sheet
native_id: NSIDC-0489
processing_level: ~
publication_year: ~
release_dt: 2011-02-20T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1999-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nsidc-0489
url: http://nsidc.org/data/NSIDC-0489
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set addresses why surface melt water lakes on ice shelves and ice sheets are notably influential in triggering ice-shelf break-up and modulating seasonal ice flow, and are thus principle avenues by which environmental change can be transmitted to the ice sheets of Antarctica and Greenland. A comparative analysis is performed of lake geometry and derived depth (using Landsat image reflectance) in two distinct regions, one a collapsing ice shelf and the other an ablation zone of a land terminating ice sheet, to better characterize the range of surface lake variability.'
description_attribution: ~
display_name: Standing Water Depth on Larsen B Ice Shelf
doi: 10.7265/N500002K
end_time: 2000-02-22T00:00:00
identifier: nsidc-0584
lat_max: -63
lat_min: -67
lon_max: -55
lon_min: -63
name: Standing Water Depth on Larsen B Ice Shelf
native_id: NSIDC-0584
processing_level: ~
publication_year: ~
release_dt: 2014-04-30T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 2000-02-21T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nsidc-0584
url: http://nsidc.org/data/NSIDC-0584
variables: ~
version: ~
vertical_extent: ~
display_name: landsat-7/enhanced-thematic-mapper-plus
href: http://52.38.26.42:8080/platform/landsat-7/instrument/enhanced-thematic-mapper-plus.yaml
instrument_identifier: enhanced-thematic-mapper-plus
location: ~
parents: []
platform_identifier: landsat-7
type: instrument_instance
uri: /platform/landsat-7/instrument/enhanced-thematic-mapper-plus