--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "ABSTRACT: The data set consists of a subset for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N) of the 1km Global Tree Cover Data Set developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. Data are available in both ASCII GRID and binary image files formats.Characterization of terrestrial vegetation from the Advanced Very High Resolution Radiometer (AVHRR) on the global to regional scale has traditionally been accomplished using classification schemes with discrete numbers of vegetation classes. Representation of vegetation into a limited number of homogeneous classes does not account for the variability within land cover, nor does the portrayal recognize transition zones between adjacent cover types. An alternative paradigm to describing land cover as discrete classes is to represent land cover as continuous fields of vegetation characteristics using a linear mixture model approach. This prototype data set, created by researchers at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland, contains 1-km cells estimating: 1) Percent tree cover; 2) Percentage cover for two layers representing leaf longevity (evergreen and deciduous); and 3) Percentage cover for two layers estimating leaf type (broadleaf and needleleaf).Data acquired in 1992-93 from NOAA's AVHRR at a 1-km spatial resolution and processed under the guidance of the International Geosphere Biosphere Programme (IGBP) were used to derive the tree cover, leaf type and leaf longevity maps. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models or aggregated into more conventional land cover maps. For the latter, the product offers the flexibility to derive land cover maps based on user's requirements for a particular application. The product is intended for use in terrestrial carbon cycle models, in conjunction with other spatial data sets such as climate and soil type, to obtain more consistent and reliable estimates of carbon stocks." description_attribution: http://daac.ornl.gov//LBA/guides/lba_glcf_tree.html doi: 10.3334/ORNLDAAC/686 end_time: 1993-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-686.yaml identifier: nasa-ornldaac-686 lat_max: 10 lat_min: -25 lon_max: -30 lon_min: -85 name: 'LBA Regional Tree Cover from AVHRR, 1-km, 1992-1993 (DeFries et al.)' native_id: lba_tree_cover processing_level: ~ publication_year: ~ release_dt: 2003-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1992-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-686 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=686 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This data set is a subset of a global vegetation and soils data set by Wilson and Henderson-Sellers (1985a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10° N to 25° S, 30° to 85° W). The data are in ASCII GRID format. The original global data set (Wilson and Henderson-Sellers 1985a) is an archive of soil type and land cover data derived for use in general circulation models (GCMs). The data were collated from maps depicting natural vegetation, forestry, agriculture, land use, and soil, and they were archived at a resolution of 1° latitude by 1° longitude. The data set indicates soil type, soil data reliability, primary vegetation, secondary vegetation, and land cover data reliability. Approximately 50 land cover classifications are used, including categories for agricultural and urban uses. The inclusion of secondary vegetation type is particularly useful in areas with cover types that may have a fragmented distribution, such as in areas of urban development. The soil type data are classified according to climatically important properties for GCMs, and they indicate color (light, medium, or dark), texture, and drainage quality of the soil. The land cover data are compatible with the soils data, forming a coherent and consistent data set. The reliability of the land cover data is ranked on a scale of 1 to 5 (high to low). The reliability of the soil data is ranked as high, good, moderate, fair, or poor. Recommendations for the use of these data, as well as more detailed information can be found in Wilson and Henderson-Sellers (1985b). Further data set information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/wilhend/comp/wilhend_readme.pdf. LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.' description_attribution: http://daac.ornl.gov//LBA/guides/lba_wilhend.html doi: 10.3334/ORNLDAAC/687 end_time: 1999-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-687.yaml identifier: nasa-ornldaac-687 lat_max: 10 lat_min: -25 lon_max: -30 lon_min: -85 name: 'LBA Regional Vegetation and Soils, 1-Degree (Wilson and Henderson-Sellers)' native_id: lba_veg_soils processing_level: ~ publication_year: ~ release_dt: 2003-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1900-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-687 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=687 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. This subset, for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America, retains all five arrays at the 1-degree resolution but only for the area of interest (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N). The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats.The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate.The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov].' description_attribution: http://daac.ornl.gov//LBA/guides/lba_gisswetlands.html doi: 10.3334/ORNLDAAC/688 end_time: 1982-01-01T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-688.yaml identifier: nasa-ornldaac-688 lat_max: 10 lat_min: -25 lon_max: -30 lon_min: -85 name: 'LBA Regional Wetlands Data Set, 1-Degree (Matthews and Fung)' native_id: lba_giss processing_level: ~ publication_year: ~ release_dt: 2003-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1971-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-688 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=688 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This dataset is a 15-kilometer resolution land cover map for the land area of the Former Soviet Union. There are sixty land cover classes distinguished in this dataset, of which 38 are forest cover classes. The data set is useful for stratification of the FSU into general sub-regions of land cover for subsequent study using higher resolution satellite data.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_AVHRR_FSU_15_km.html doi: 10.3334/ORNLDAAC/689 end_time: 1993-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-689.yaml identifier: nasa-ornldaac-689 lat_max: 75 lat_min: 35.2389 lon_max: 180 lon_min: 19.816 name: 'RLC AVHRR-Derived Land Cover, Former Soviet Union, 15-km, 1984-1993' native_id: rlc_avhrr_15km processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1984-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-689 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=689 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: The focus of this study was to quantify the effects of foliage removal by cattle on plant net primary productivity (NPP). The Vegetation Biomass, Production and Consumption at Selected Sites Data Set contains mean values and their variances. During the growing season of 1987, portable cattle exclosures were used to quantify above-ground plant biomass dynamics at each of four sites. All sites had been grazed each year and burned frequently during the preceding 10 years. Biomass was measured inside portable exclosures, outside exclosures (in unprotected vegetation), and inside permanent exclosures. Exclosures were moved to previously unsampled locations within a distance of 10 m after samples were obtained, and these remained in place until the next sampling date.' description_attribution: http://daac.ornl.gov//FIFE/guides/Plant_Biomass_Production_Consump.html doi: 10.3334/ORNLDAAC/69 end_time: 1987-10-13T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-69.yaml identifier: nasa-ornldaac-69 lat_max: 39.12 lat_min: 38.98 lon_max: -96.47 lon_min: -96.54 name: Plant Biomass/Production/Consump. (FIFE) native_id: FIFE_PLANTPRO processing_level: ~ publication_year: ~ release_dt: 1994-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1987-05-18T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-69 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=69 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "ABSTRACT: This data set is a 1-kilometer resolution land cover map for the land area of the Primor'ye and Southern Khabarovsk Regions, in the Russian Far East, based on 1990 NOAA AVHRR data. Labeling of land cover classes depended upon the Russian 1990 Forest Cover Map (Garsia, 1990), the analyst's experience with AVHRR data, and Russian data sources. There are eight classes distinguished in this dataset, of which 5 are forest cover classes.The objective of this work was to create a 1-km resolution land cover map of the region of the Far Eastern Siberia based on NOAA AVHRR data which might be used by World Wildlife Fund researchers to aid in the definition of remaining habitats and range for threatened animal species (Stone and Schlesinger, 1996)." description_attribution: http://daac.ornl.gov//RLC/guides/RLC_AVHRR_1_km.html doi: 10.3334/ORNLDAAC/690 end_time: 1990-08-17T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-690.yaml identifier: nasa-ornldaac-690 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: 'RLC AVHRR-Derived Land Cover, Former Soviet Union, Far East, 1-km, 1990' native_id: rlc_avhrr_1km processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1990-05-15T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-690 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=690 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This data set is a 1:2.5 million scale forest cover map for the land area of the Former Soviet Union that was completed in 1990 (Garsia 1990). There are forty-five classes distinguished in this data set, of which 38 are forest cover classes. The purpose of this map was to create a generalized and up-to-date map of forest cover for the USSR. This map should not be viewed as a detailed forest cover map but more like an economic forestry map. The most important tree species of a region are highlighted rather than the dominant trees species or tree cover. Very few tree species are defined. In many cases, of course, the dominant and the most important trees species are the same.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_forest90.html doi: 10.3334/ORNLDAAC/691 end_time: 1990-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-691.yaml identifier: nasa-ornldaac-691 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: 'RLC Forest Cover Map of the Former Soviet Union, 1990' native_id: rlc_forest_map_1990 processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1990-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-691 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=691 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This data set is a 1:15 million scale forest cover map for the land area of the Former Soviet Union. Twenty-two land cover classes are distinguished, of which 20 are forest cover classes. The source data were acquired by map digitization from the Atlas of Forests of the USSR (Anon. 1973) which was likely based on forestry data from the 1940s, 1950s and 1960s.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_forest_cover_73.html doi: 10.3334/ORNLDAAC/692 end_time: 1973-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-692.yaml identifier: nasa-ornldaac-692 lat_max: 75 lat_min: 35.1659 lon_max: 170 lon_min: 19.8165 name: 'RLC Forest Cover of the Former Soviet Union, 1973' native_id: rlc_forest_map_1973 processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1973-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-692 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=692 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This dataset is a 1:2 million scale forest cover map for the land area of the Krasnoyarsk Region, Russia. Thirty-two land cover classes are distinguished. These data were digitized from maps of the Atlas of Forests of the USSR (Anon. 1973). This map should not be strictly viewed as a map of actual forest cover, but rather as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_forest_krasnoyarsk_73.html doi: 10.3334/ORNLDAAC/693 end_time: 1973-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-693.yaml identifier: nasa-ornldaac-693 lat_max: 56.5 lat_min: 56.5 lon_max: 104.5 lon_min: 104.5 name: 'RLC Forest Cover of the Krasnoyarsk Region, Russia, 1973' native_id: rlc_forest_cover processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1973-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-693 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=693 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "ABSTRACT: This data set is made up of images of forest fires in Russia from NOAA's Operational Significant Event Imagery (OSEI) archive (http://www.osei.noaa.gov) for the 1998 and 1999 seasons. OSEI fire products include multichannel color composite imagery of wildfire and controlled burn events. Products in this event group show fire, smoke, and hotspots (FSMHS) from the fires." description_attribution: http://daac.ornl.gov//RLC/guides/RLC_forest_fire_images.html doi: 10.3334/ORNLDAAC/694 end_time: 1999-08-03T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-694.yaml identifier: nasa-ornldaac-694 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: 'RLC Forest Fire Images in Russia, 1998-1999' native_id: rlc_forest_fire_img processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1998-08-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-694 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=694 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This dataset is derived from Russian forest fire imagery from the National Forest Fire Center of Russia archive that was collected by the Center of Remote Sensing, Institute of Solar Terrestrial Physics, Irkutsk, Russia for the 1998 and 1999 fire seasons. The data are vector (point) maps of forest fire locations (1998 and 1999) in ArcView shapefile format.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_east_forest_fires.html doi: 10.3334/ORNLDAAC/695 end_time: 1999-09-30T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-695.yaml identifier: nasa-ornldaac-695 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: 'RLC Forest Fire Locations in Eastern Russia, 1998-1999' native_id: rlc_forest_fires processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1998-04-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-695 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=695 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This dataset is a 1:15 million scale map of forest stand carbon for the land area of Russia (Stone et al., 2000). The objective was to create a first approximation of the forest stand carbon reserves of Russia. Data include continuous estimates of forest stand carbon in units of metric tons/ha of carbon (C) and categorized data depicting rages of forest stand carbon. The resulting maps show forest stand C by region in a spatially explicit form. It is the first map of its type for Russia of which we are aware. The mapped C represents 96% of the total of 26.1 Pg forest tree stand C described by Alexeyev and Birdsey (1994) and Alexeyev et al. (1995). Of the remaining 4%, nearly half was due to bushes, which were assumed not to be mapped in the 1973 forest cover map.The source data for the forest stand carbon map were acquired by map digitization from the Atlas of Forests for the Soviet Union (State Committee on Forests, 1973) and spatial application and arithmetic manipulation of carbon storage data from Alexeyev and Birdsey (1998).' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_forest_carbon_73.html doi: 10.3334/ORNLDAAC/696 end_time: 1973-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-696.yaml identifier: nasa-ornldaac-696 lat_max: 75 lat_min: 35.1659 lon_max: 170 lon_min: 19.8165 name: RLC Forest Stand Carbon Map of Russia native_id: rlc_forest_carbon processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1973-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-696 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=696 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This data set is the Former Soviet Union (FSU) portion of the Generalized World Forest Map (WCMC, 1998), a 1-kilometer resolution generalized forest cover map for the land area of the Former Soviet Union. There are five forest classes in the original global generalized map. Only two of those classes were distinguished in the geographical portion comprising the FSU.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_forestmap98.html doi: 10.3334/ORNLDAAC/697 end_time: 1998-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-697.yaml identifier: nasa-ornldaac-697 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: 'RLC Generalized Forest Map of the Former Soviet Union, 1-km' native_id: rlc_world_forest_map processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1998-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-697 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=697 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This data set consists of roads, drainage, railroads, utilities, and population center information in readily usable vector format for the land area of the Former Soviet Union. The purpose of this dataset was to create a completely intact vector layer which could be readily used to aid in mapping efforts for the area of the FSU. These five vector data layers were assembled from the Digital Chart of the World (DCW), 1993. Individual record attributes were stored for population centers only. Vector maps for the FSU are in ArcView shapefile format.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_vector_data.html doi: 10.3334/ORNLDAAC/698 end_time: 1993-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-698.yaml identifier: nasa-ornldaac-698 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: 'RLC Selected Infrastructure Data for the Former Soviet Union, 1993' native_id: rlc_infra_1993 processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1993-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-698 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=698 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set. The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_admin_bound.html doi: 10.3334/ORNLDAAC/699 end_time: 1999-08-03T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-699.yaml identifier: nasa-ornldaac-699 lat_max: 71 lat_min: 23.21 lon_max: 180 lon_min: 25 name: RLC State and Regional Boundaries for the Former Soviet Union native_id: rlc_boundaries processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1998-08-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-699 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=699 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: The University of Wyoming (UW) King Air atmospheric boundary layer measurement missions were flown in 1987 during IFCs 3 and 4. This Boundary Layer Fluxes data set contains parameters that describe the environment in which the flux data were collected and the flux data itself . The fluctuations in all variables were calculated with three different methods (the arithmetic means removed, the linear trends removed, or filtered with a high-pass recursive filter) prior to the eddy correlation calculations. This data set contains the data that has been filtered using a high-pass recursive filter. All the flux measurements were obtained with the eddy-correlation method, wherein the aircraft is equipped with an inertial platform, accelerometers, and a gust probe for measurement of earth-relative gusts in the x, y, and z directions. Gusts in these dimensions are then correlated with each other for momentum fluxes and with fluctuations in other variables to obtain the various scalar fluxes, such as temperature (for sensible heat flux) and water vapor mixing ratio (for latent heat flux). The summary of data calculated from each aircraft pass includes various statistics, correlations, and fluxes calculated after the time series for each variable with the linear trends removed.' description_attribution: http://daac.ornl.gov//FIFE/guides/air_flux_filt_wy.html doi: 10.3334/ORNLDAAC/7 end_time: 1989-10-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-7.yaml identifier: nasa-ornldaac-7 lat_max: 40 lat_min: 37 lon_max: -95 lon_min: -102 name: 'Aircraft Flux-Filtered: U of Wy. (FIFE)' native_id: FIFE_AF_FLT_K processing_level: ~ publication_year: ~ release_dt: 1994-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1987-08-11T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-7 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=7 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: The Surface Radiant Temperature Measured with a Helicopter-borne Infrared Thermometer Data Set were collected for six days during July and August of 1989 to provide the radiant temperature of the FIFE sites and as a check of the thermal band on the MMR. The average and standard deviation of radiant temperature were measured with an Everest infrared thermometer. The Everest Series 4000 Infrared Thermometer (IRT) was mounted on the NASA Bell UH-1B helicopter in conjunction with the Barnes Multiband Modular Radiometer (MMR) and the Spectron Engineering SE590 Spectroradiometer for the 1989 field campaign. The IRT collected radiant temperature data as the helicopter hovered over individual sites within the FIFE study area.' description_attribution: http://daac.ornl.gov//FIFE/guides/Radiant_Temp_Helicopter_Data.html doi: 10.3334/ORNLDAAC/70 end_time: 1989-08-11T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-70.yaml identifier: nasa-ornldaac-70 lat_max: 39.12 lat_min: 38.98 lon_max: -96.45 lon_min: -96.61 name: Radiant Temp. Helicopter Data (FIFE) native_id: FIFE_IRT_HELO processing_level: ~ publication_year: ~ release_dt: 1994-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1989-07-28T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-70 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=70 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: This dataset is a 1:4 million scale vegetation map for the land area of the Former Soviet Union. Three hundred seventy-three cover classes are distinguished, of which nearly 145 are forest cover-related classes. Stone and Schlesinger (1993) digitized the map Vegetation of the Soviet Union, 1990 (Institute of Geography, 1990).' description_attribution: http://daac.ornl.gov//RLC/guides/RLC_veg_cover_1990.html doi: 10.3334/ORNLDAAC/700 end_time: 1973-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-700.yaml identifier: nasa-ornldaac-700 lat_max: 75 lat_min: 35.1659 lon_max: 170 lon_min: 19.8165 name: 'RLC Vegetative Cover of the Former Soviet Union, 1990' native_id: rlc_veg_cover processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1973-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-700 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=700 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ABSTRACT: The data set consists of a subset of the ISRIC-WISE global data set of derived soil properties for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 to 30 degrees W, latitude 25 degrees S to 10 degrees N).The World Inventory of Soil Emission Potentials (WISE) database currently contains data for over 4300 soil profiles collected mostly between 1950 and 1995. This database has been used to generate a series of uniform data sets of derived soil properties for each of the 106 soil units considered in the Soil Map of the World (FAO-UNESCO, 1974). These data sets were then linked to a 1/2 degree longitude by 1/2 degree latitude version of the edited and digital Soil Map of the World (FAO, 1995) to generate GIS raster image files for the following variables:Total available water capacity (mm water per 1 m soil depth)Soil organic carbon density (kg C/m**2 for 0-30 cm depth range)Soil organic carbon density (kg C/m**2 for 0-100 cm depth range)Soil carbonate carbon density (kg C/m**2 for 0-100 cm depth range)Soil pH (0-30 cm depth range)Soil pH (30-100 cm depth range)LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. LBA was a cooperative international research initiative led by Brazil and NASA was a lead sponsor for several experiments. More information about LBA and links to other LBA project sites can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.' description_attribution: http://daac.ornl.gov//LBA/guides/lba_isric.html doi: 10.3334/ORNLDAAC/701 end_time: 1995-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-701.yaml identifier: nasa-ornldaac-701 lat_max: 10 lat_min: -25 lon_max: -30 lon_min: -85 name: 'LBA Regional Derived Soil Properties, 0.5-Deg (ISRIC-WISE)' native_id: lba_isric_wise processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1950-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-701 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=701 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "ABSTRACT: This data set consists of a subset of the Global Historical Climatology Network (GHCN) Version 1 database for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 to 30 degrees W, latitude 25 degrees S to 10 degrees N). There are three files available, one each for precipitation, temperature, and pressure data. Within this subset the oldest data date from 1832 and the most recent from 1990.The GHCN V1 database contains monthly temperature, precipitation, sea-level pressure, and station-pressure data for thousands of meteorological stations worldwide. The database was compiled from pre-existing national, regional, and global collections of data as part of the Global Historical Climatology Network (GHCN) project, the goal of which was to produce, maintain and make available a comprehensive global surface baseline climate data set for monitoring climate and detecting climate change. It contains data from roughly 6000 temperature stations, 7500 precipitation stations, 1800 sea-level pressure stations, and 1800 station-pressure stations. Each station has at least 10 years of data; 40% have more than 50 years of data. Spatial coverage is good over most of the globe, particularly for the United States and Europe. Data gaps are evident over the Amazon rainforest, the Sahara desert, Greenland, and Antarctica. The earliest station data are from 1697; the most recent are from 1990. The database was created from 15 source data sets including:The National Climatic Data Center's (NCDC's) World Weather Records,CAC's Climate Anomaly Monitoring System (CAMS),NCAR's World Monthly Surface Station Climatology,CIRES' (Eischeid/Diaz) Global precipitation data set,P. Jones' Temperature data base for the world, andS. Nicholson's African precipitation database. Quality Control of the GHCN V1 database included visual inspection of graphs of all station time series, tests for precipitation digitized 6 months out of phase, tests for different stations having identical data, and other tests. This detailed analysis has revealed that most stations (95% for temperature and precipitation, 75% for pressure) contain high-quality data. However, gross data-processing errors (e.g., keypunch problems) and discontinuous inhomogeneities (e.g., station relocations and instrumentation changes) do characterize a small number of stations. All major data processing problems have been flagged (or corrected, when possible). Similarly, all major inhomogeneities have been flagged, although no homogeneity corrections were applied.LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. LBA was a cooperative international research initiative led by Brazil and NASA was a lead sponsor for several experiments. More information about LBA and links to other LBA project sites can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html." description_attribution: http://daac.ornl.gov//LBA/guides/lba_ghcn_safari.html doi: 10.3334/ORNLDAAC/702 end_time: 1990-12-31T00:00:00 href: http://52.38.26.42:8080/dataset/nasa-ornldaac-702.yaml identifier: nasa-ornldaac-702 lat_max: 10 lat_min: -25 lon_max: -30 lon_min: -85 name: 'LBA Regional Global Historical Climatology Network, V. 1, 1832-1990' native_id: lba_ghcn_v1 processing_level: ~ publication_year: ~ release_dt: 2004-01-01T00:00:00 scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1832-07-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-ornldaac-702 url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=702 variables: ~ version: ~ vertical_extent: ~