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51. EOS Land Validation Core Site: Mongu, Zambia, Africa [LANDVAL_MONGU]
The EOS Land Validation Core Sites are intended as a focus for land product validation over a range of biome types. These sites will provide a focus for satellite, aircraft, and ground data collection ...


52. EOS Land Validation Core Site: Skukuza, Kruger NP, Republic of South Africa [LANDVAL_SKUKUZA]
The EOS Land Validation Core Sites are intended as a focus for land product validation over a range of biome types. These sites will provide a focus for satellite, aircraft, and ground data collection ...


53. Earth Image [Canada_WorldSat_EarthImage]
This is a complete mosaic of the Earth based on cloud free NOAA AVHRR 1km LAC data. The mosaic is represented in natural earth colours and is a composite of imagery taken over between ...


54. Ecological Forecasting: Land Cover 2005 Level I - IV [KU_KARS_LULC_ecoforecast]
The 2005 Kansas Land Cover Patterns (KLCP) Mapping Initiative was a two-phase mapping endeavor that occurred over a three-year period (2007-2009). Note that while the processing occurred during the ...


55. Ecological Monitoring and Assessment Network Coordinating Office - NatureWatch Data, Canada [Canada_EMANCO_NatureWatchData]
NatureWatch is a suite of community based or "citizen science" monitoring programs that are administered through a partnership between the Ecological Monitoring and Assessment Network Coordinating ...


56. European Remote Sensing Forest/Non-forest Digital Map [geodata_0365]
As such, the European Forest/Non-forest Digital Map is reasonably up-to- date and based on a homogeneous data source. Because the methodology used to produce the digital map is documented and was ...


57. Forest Average Annual Change [geodata_0930]
Forest Average Annual Change – Total is the net change in forests and includes expansion of forest plantations and losses and gains in the area of natural forests. Total Forest includes natural forests ...


58. Forest Harvest Rate [geodata_1966]
Forest harvest rates expressed as the ratio of roundwood production and growing stock in forests. After decades of increases, harvesting of roundwood from forests appears to have levelled off in ...


59. Forest Land Distribution Data for the United States: USDA, Forest Service, Southern Forest Experiment Station, Starkville MS [USDA_FSSFES_FOREST]
Data and metadata are provided for the Continental United States, Alaska, and Hawaii. Information on Forset type and density are provided in the data sets which are available in GIF image format, ...


60. Forest Resources Database of Nova Scotia, Canada [Canada_NS_ForestResourcesData]
The Forest Resources Database contains forest stand descriptions, Crown ownership information, and an ecological land classification. Interpreted aerial photography is the primary source ...


61. Fort Laramie National Historic Site, Field Plots Data Base for Vegetation Mapping [usgs_nps_fortlaramie]
Vegetation field plots at Fort Laramie NHS were visited, described, and documented in a digital database. The database consists of two parts - (1) Physical Descriptive and Stratum Data, and (2) Species ...


62. Fort Laramie National Historic Site, Spatial Vegetation Data: Cover Type/Association Level of the National Vegetation Classification System [usgs_nps_fortlaramiespatial]
The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to "develop a uniform hierarchical vegetation ...


63. Gaston County Water Quality and Water Quantity [USDA0111]
Comprehensive database on water quality for the county. Collection Organization: USDA-CES - Gaston County, NC Collection Methodology: Well sampling, water quality sampling, some digitized land ...


64. GlobCover Land Cover (v2.2) [geodata_2059]
GlobCover Land Cover v2 is a global land cover map at 10 arc second (300 meter) resolution. Its 22 global land cover classes are defined within the UN Land Cover Classification System (LCCS). GlobCover ...


65. Global 1Km Land Cover - UMD Legend [geodata_1377]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


66. Global 1Km Land Cover - UMD Legend (Africa) [geodata_1379]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


67. Global 1Km Land Cover - UMD Legend (Asia) [geodata_1380]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


68. Global 1Km Land Cover - UMD Legend (Europe) [geodata_1383]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


69. Global 1Km Land Cover - UMD Legend (Middle East) [geodata_1378]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


70. Global 1Km Land Cover - UMD Legend (North America) [geodata_1382]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


71. Global 1Km Land Cover - UMD Legend (South America) [geodata_1381]
AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at ...


72. Global 1km Land Cover - IGBP Legend [geodata_0301]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


73. Global 1km Land Cover - IGBP Legend (Asia) [geodata_0305]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


74. Global 1km Land Cover - IGBP Legend (Europe) [geodata_0287]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


75. Global 1km Land Cover - IGBP Legend (Global) [geodata_0304]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


76. Global 1km Land Cover - IGBP Legend (Middle East) [geodata_0306]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


77. Global 1km Land Cover - IGBP Legend (North America) [geodata_0302]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


78. Global 1km Land Cover - IGBP Legend (South America) [geodata_0303]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


79. Global 1km Land Cover - Olson Global Ecosystem Legend [geodata_0372]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


80. Global 1km Land Cover - Olson Global Ecosystem Legend (Africa) [geodata_0374]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


81. Global 1km Land Cover - Olson Global Ecosystem Legend (Asia) [geodata_0369]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


82. Global 1km Land Cover - Olson Global Ecosystem Legend (Middle East) [geodata_0375]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


83. Global 1km Land Cover - Olson Global Ecosystem Legend (North America) [geodata_0370]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


84. Global 1km Land Cover - Olson Global Ecosystem Legend (South America) [geodata_0371]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


85. Global 1km Land Cover - USGS Legend [geodata_0156]
The U.S. Geological Survey (USGS), the University of Nebraska-Lincoln (UNL), and the European Commission's Joint Research Centre (JRC) have generated a 1-km resolution global land cover characteristics ...


86. Global Hydrological Archive and Analysis System (GHAAS) Water Balance Model [EOSWEBSTER_GHASS]
The GHAAS (USA) collection contains data used to compare water balance estimates over U.S. watersheds modeled by eleven potential evapotranspiration functions. The terrestrial water cycle ...


87. Global Land Cover 2000 (GLC 2000) [geodata_1848]
Each regional partner used the VEGA2000 dataset, providing a daily global image from the Vegetation sensor onboard the SPOT4 satellite. Each partner also used the Land Cover Classification System ...


88. Global Land Survey Digital Elevation Model (GLSDEM) [GLCF_glsdem]
The Global Land Survey Digital Elevation Model (GLSDEM) is a spatial data collection crucial to new global imagery products from NASA and the USGS. In the late 1990s, the U.S. Congress set aside funding ...


89. Global Land/Sea Flag File (5 minute grid) [BODC_Land_Sea_Flag]
The land/sea flag file was created by C.K. Shum and B.E. Schutz of the Center for Space Research, University of Texas at Austin, USA. It was generated using the world coastline of the CIA World Data ...


90. Global Potential Vegetation Dataset [SAGE_GLOBAL_POTVEG]
The Global Potential Vegetation data set shows historical changes in global land cover and specifically vegetation cover and changes to its characteristics over time. The data is available in two ...


91. Growing Stock in Forest [geodata_1965]
Growing stock Volume over bark of all living trees more than X cm in diameter at breast height. Includes the stem from ground level or stump height up to a top diameter of Y cm, and may also include ...


92. Honduras GlobeSar2 Radarsat Data [Canada_CCRS_Globesar2Honduras]
Building on the success of previous radar data programs, GlobeSAR2 is a three-year geomatics technology transfer program focused on the use of RADARSAT for improved natural resource management in ...


93. IKONOS Image of Greater Annapolis, Maryland Area, Enhanced for Vegetation [MD_DNR_ANNAP_343]
This is a pan sharpened, IKONOS Image of Greater Annapolis, Maryland Area, enhanced for vegetation. The purpose of this image is for presentation visuals and maps. [Summary ...


94. Image Annotation of 8 Kilometer Land Cover Product from the University of Maryland [ANNOTATED_GLCF_GLC_8km]   CHILD METADATA   PARENT METADATA
Annotated Global land cover classifications at 8km spatial resolution. This data set contains Normalized Difference Vegetation Index (NDVI) images.


95. Innoko National Wildlife Refuge Landcover and Topography; USGS, Alaska [EARTH_LAND_USGS_AK_Innoko1]
The Innoko National Wildlife Refuge digital data sets contain land cover classifications derived from Landsat MSS data, and elevation, slope and aspect data derived from DEM ...


96. Isle Royale National Park Spatial Vegetation Data; Cover Type / Association level of the National Vegetation Classification System [usgs_nps_isleroyalespatial]
The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to "develop a uniform hierarchical vegetation ...


97. Isle Royale National Park, Field Plots Data Base for Vegetation Mapping [usgs_nps_isleroyale]
Vegetation field plots at Isle Royale National Park were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data and (2) Species ...


98. Izembek National Wildlife Refuge Landcover and Topography; USGS, Alaska [EARTH_LAND_USGS_AK_Izembek1]
The digital data sets contain land cover classifications for the Izembek National Wildlife Refuge derived from Landsat MSS data. Data can be keyed on a U.S. Geological Survey ...


99. Jewel Cave National Monument, Field Plots Data Base for Vegetation Mapping [usgs_nps_jewelcave]
Vegetation field plots at Jewel Cave NM were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listing. The ...


100. Koyukuk National Wildlife Refuge Landcover, Topography, Etc.; USGS, Alaska [EARTH_LAND_USGS_AK_Koyukuk1]
Digital data is given on the Koyukuk National Wildlife Refuge in west-central Alaska. The data set contains information on land status, lake and streams digitized at 1:63,360, and wildlife ...


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