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51. Biofuels and Climate Change: Farmers' Land Use Decisions [KU_KARS_biofuels_climate_change]
Leveraging existing cyberinfrastructure, land cover data, and geospatial analysis capacity developed during previous phases of National Science Foundation (NSF) EPSCoR funded research, the Kansas ...


52. Bristol Bay Region, Alaska, Vegetation Cover Classification, USGS, Alaska [EARTH_LAND_USGS_AK_Bristol_Bay]
This digital data set includes vegetation cover classification derived from Landsat MSS data and can be keyed on a 1:250,000 quadrangle basis. Spatial referencing is by 50 ...


53. CanMatrix - Digital Topographic Maps of Canada [CANADA_CTI_CanMatrixTopoMapsCan]
CanMatrix is composed of raster data from scanned maps of Canada at the 1:50 000 and 1:250 000 scales. The files are geocoded according to the North American Datum of 1983 ...


54. Canada Land Use Monitoring Program (CLUMP) Urban Land Use - 1966 to 1976 [Canada_GeoGratis_CLUMP]
The Canada Land Use Monitoring Program (CLUMP) was established in 1978 by the Lands Directorate of Environment Canada to provide researchers, planners and managers with a database on land ...


55. Carbon Stock in Living Forest Biomass [geodata_2199]
CARBON STOCK The quantity of carbon in a “pool”, meaning a reservoir or system which has the capacity to accumulate or release carbon. Examples of carbon pools are Living biomass (including Above ...


56. Chesapeake Bay Watershed [watershed_chesapeake_profile]   PARENT METADATA
This data set includes statistics on the Chesapeake Bay watershead. This information is provided in watershed profiles. Watershed profiles are assembles maps, charts and ...


57. Climate, Land Use, and Environmental Sensitivity (CLUES) [USGS_CLUES]
Vegetation changes caused by climatic variations and/or land use may have large impacts on forests, agriculture, rangelands, natural ecosystems, and endangered species. Climate modeling studies indicate ...


58. Coastal Change Analysis Program Chesapeake Bay Region Data on CD-ROM [NGDC_CCAP_CHESAPEAKE]
The data set on this CD-ROM shows changes in land cover for the Chesapeake Bay region over the 5-year interval from 1984 to 1988-89. The data set was produced through a multi-year effort that focused ...


59. Congaree Swamp National Monument Field Plots Data Base for Vegetation Mapping [usgs_nps_congareeswamp]
Vegetation field plots at Congaree Swamp National Monument were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) ...


60. Congaree Swamp National Monument Spatial Vegetation Data; Cover Type/Association Level of the National Vegetation Classification System [usgs_nps_congareeswampspatial]
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 ...


61. Continental Scale Estimates of the Biotic Carbon Flux from Land Cover Change: 1850 to 1990, CDIAC, NDP-050/R1 [CDIAC_NDP050]
This database contains annual estimates of the rate of land cover change for up to 18 different natural ecosystems in nine regions of the world: North America, Europe, Former Soviet Union, Pacific ...


62. Cover Types of Yellowstone National Park [NPS_YNP_COVER_TYPES]
The cover types layer is a picture of the current vegetation communitites in Yellowstone National Park. It is useful in understanding vagetation patterns, patches, and fragmentation; conducting fire ...


63. Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland [USGS_OFR_2007_1308]
Many agricultural and forested areas in proximity to National Wildlife Refuges (NWR) are under increasing economic pressure for commercial or residential development. The upper portion of the Little ...


64. Devils Tower National Monument Field Plots Data Base for Vegetation Mapping [usgs_nps_devilstower]
Vegetation field plots at Devils Tower NM were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listings. ...


65. Digital Terrain Models for Toronto, Ontario, Canada [Canada_SaniIntl_DigTerModToront]
The product contains mass points and break lines along major roads and drainage features.The product may be used for: generating contours, drainage studies, 3-D viewing and environmental studies. ...


66. Duiling Deqing County GIS [ICId0017_202]
Various datasets on land use and population


67. 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 ...


68. 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 ...


69. 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 ...


70. 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 ...


71. 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 ...


72. 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 ...


73. 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 ...


74. 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 ...


75. 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, ...


76. 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 ...


77. 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 ...


78. 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 ...


79. 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 ...


80. 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 ...


81. 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 ...


82. 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 ...


83. 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 ...


84. 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 ...


85. 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 ...


86. 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 ...


87. 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 ...


88. 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 ...


89. 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 ...


90. 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 ...


91. 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 ...


92. 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 ...


93. 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 ...


94. 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 ...


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. Land Cover Database for North Carolina [NCGIA_LCDB1]
This is an up to date landcover database for the entire state of NC based on 1996 Landsat TM imagery. We used Erdas Imagine 8.2 to develop a supervised classification of the area and an Anderson-type ...


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