Skip to main content
USGS - science for a changing world
Advanced Search

Filters: Tags: land cover (X)

2,426 results (117ms)   

Filters
Contacts (Less)
View Results as: JSON ATOM CSV
thumbnail
The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture - Forest Service (USDA-FS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). The success of NLCD over nearly two decades is credited to the continuing collaborative spirit of...
thumbnail
The National Land Cover Database 2001 tree canopy layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent,...
Refinement of Gopher Tortoise Habitat Identification and Related Land Cover Data. The benefits of this project include: 1) much improved gopher tortoise remote habitat identification that could have a strong influence on potential listing status (with the likelihood that significantly more habitat may be identified); 2) better statewide land cover data regarding scrubby flatwoods and potentially refined mesic flatwoods and dry prairie classifications; and 3) potential spin off benefits regarding better habitat identification for related species such as gopher frogs and other xeric adapted species that might be found in on drier flatwoods and dry prairie sites.This raster represents a potential habitat for the Florida...
thumbnail
This data set presents attributes of floodplain ecosystem characteristics including floodplain soil denitrification, floodplain soil biogeochemistry, floodplain vegetation, floodplain sedimentation, floodplain and channel morphometry, stream discharge and water quality, floodplain climate, floodplain physiographic region, and catchment land cover. Attributes are associated with 18 floodplains of the Chesapeake Bay watershed. For many of these attributes, mean values are summaries of multiple measurements made within each floodplain site.
thumbnail
This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation, we ran 100 Monte Carlo simulations based on empirically observed rates of change at a relatively fine scale (270m). We sampled from multiple observed rates of change at the county level to introduce heterogeneity into the Monte Carlo simulations. Using this approach allowed the model to project different outcomes that were summarized...
thumbnail
This dataset depicts relative erosion rate derived for all land draining above the Mesoamerican reef. It is a function of slope, land cover type, precipitation and soil type. The indicators developed by the Reefs at Risk in the Caribbean project enable detailed comparative analyses of threats on many scales. The Reefs at Risk indicators are a simplification of human activities and complex natural processes. This data set was derived at the World Resources Institute for input to the sedimentation and pollution from watershed based sources threat analysis. Agriculture, though important to economic development and food security, is a source of increased sediment, nutrient, and pesticide runoff. Threats from sedimentation...
thumbnail
Using basins derived from a hydrologically-corrected 30m resolution DEM as a unit for summary statistics, we provide a series of indicators focused on land-based sources of threat within the US Virgin Islands and Puerto Rico. This includes indicators of a) the relative vulnerability of the land to erosion (based on slope, precipitation and soil erodibility); b) the relative erosion potential (REP) of the land, based on the relative vulnerability of the land, coupled with the current land cover type; c) the sediment delivery rate for each basin (percentage of eroded which reaches the river mouth); d) estimated sediment delivery for the basin, given current land use;
thumbnail
This dataset portrays land cover for north-central Alaska, part of NLCD superzone 15. To reduce file size, Alaska was divided into ten zones, which can be found in the NLCD 2001 gallery . For more infomation on NLCD superzones, including a map, refer to http://www.mrlc.gov/nlcd_multizone_map.php . From NLCD: The National Land Cover Database 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture...
thumbnail
Vegetation and land cover of Blue Ridge National Wildlife Refuge, circa 2011. This dataset is based on interpretation of aerial imagery from the National Agricultural Imagery Program from 2010. Image classification was performed using eCognition software, which creates homogeneous polygons from the imagery. Image statistics such as texture, NDVI and spectral values were then calculated for each polygon used to classify the imagery. Field data was collected in August, 2011 to assist in the image interpretation. No additional field data were collected for validation, and no validation or accuracy assessment was completed for this dataset. Therefore, no estimates of accuracy are given.
thumbnail
The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate current,...
thumbnail
The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate current,...
thumbnail
The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate current,...
thumbnail
The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate current,...


map background search result map search result map National Land Cover Database, land cover - Alaska (north-central) Mesoamerican Relative Erosion Rate Puerto Rico Watershed Indicators by Basin Vegetation and Land Cover, Blue Ridge National Wildlife Refuge NLCD 2011 Percent Tree Canopy, by State: NLCD2011_CAN_Arkansas NLCD 2011 Percent Tree Canopy, 3 x 3 Degree: NLCD2011_CAN_N27W084 NLCD 2011 Percent Tree Canopy, 3 x 3 Degree: NLCD2011_CAN_N27W087 NLCD 2011 Percent Tree Canopy, by State: NLCD2011_CAN_Idaho NLCD 2011 Land Cover (2011 Edition, amended 2014), by State: NLCD2011_LC_Minnesota NLCD 2001 Percent Tree Canopy, 3 x 3 Degree: NLCD2001_CAN_N45W120 Data on denitrification and ecological characteristics of nontidal floodplains, Chesapeake Bay watershed, USA, 2013-2016 A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Illinois 20180809 State or Territory Shapefile USGS Land Cover - Woodland for Minnesota 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for New York 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for North Dakota 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Ohio 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Oklahoma 20180810 State or Territory FileGDB 10.1 Vegetation and Land Cover, Blue Ridge National Wildlife Refuge USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile Puerto Rico Watershed Indicators by Basin Data on denitrification and ecological characteristics of nontidal floodplains, Chesapeake Bay watershed, USA, 2013-2016 NLCD 2011 Percent Tree Canopy, 3 x 3 Degree: NLCD2011_CAN_N27W084 NLCD 2011 Percent Tree Canopy, 3 x 3 Degree: NLCD2011_CAN_N27W087 NLCD 2001 Percent Tree Canopy, 3 x 3 Degree: NLCD2001_CAN_N45W120 USGS Land Cover - Woodland for Ohio 20180810 State or Territory FileGDB 10.1 NLCD 2011 Percent Tree Canopy, by State: NLCD2011_CAN_Arkansas USGS Land Cover - Woodland for North Dakota 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Illinois 20180809 State or Territory Shapefile USGS Land Cover - Woodland for Oklahoma 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for New York 20180810 State or Territory FileGDB 10.1 NLCD 2011 Percent Tree Canopy, by State: NLCD2011_CAN_Idaho NLCD 2011 Land Cover (2011 Edition, amended 2014), by State: NLCD2011_LC_Minnesota USGS Land Cover - Woodland for Minnesota 20180810 State or Territory FileGDB 10.1 National Land Cover Database, land cover - Alaska (north-central) Mesoamerican Relative Erosion Rate A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning