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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.
This data file contains a list of journal articles found in a recent search for research relevant to studying landscape perceptions. We collected all peer reviewed academic articles containing the keywords “landscape” and “perception” on the web of science resulting in 3497 records. To eliminate studies not directly addressing landscape perception we filtered out medical journal articles (n=1211). We also chose to limit our assessment to journals directly concerned with the landscape perception topic, omitting those with fewer than 5 articles pertaining to these keywords (n=1044). The abstract and title of the remaining articles (n=1242) were further scanned to discard irrelevant studies and evaluate specific methods...
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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...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. These datasets consist of a workspace (folder) containing a collection of gridded datasets plus a personal geodatabase containing several vector datasets. These datasets are designed to be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools, allow users to delineate watersheds and compute several watershed characteristics....
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Estimates of area and aerial extent of land-use categories are an essential component for computing the water budget of the High Plains aquifer. These raster land-use land class data represent yearly simulated future land use for the High Plains from 2009 to 2050 These data were developed using the FOREcasting SCEnarios (FORE-SCE) of future land cover model (Sohl and others, 2007; Sohl and Sayler 2008) for two (A2 and B2) of the...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Estimates of land use categories are an essential component for computing the water budget of the High Plains aquifer. These raster land-use data represent yearly estimated land use for the High Plains from 1949 to 2008. These data were developed using the FOREcasting SCEnarios of future land cover (FORE-SCE) model (Sohl and others, 2007) and then processed using a Geographic Information System (GIS). The GIS software used to process...
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Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2001 land cover layer for mapping zones 01-66 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...


map background search result map search result map USGS Land Cover - Woodland for Mississippi 20160519 State or Territory Shapefile Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent  - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Data on denitrification and ecological characteristics of nontidal floodplains, Chesapeake Bay watershed, USA, 2013-2016 USGS Land Cover - Woodland for Missouri 20180127 State or Territory Shapefile 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 National Landcover - Woodland in Illinois 20191007 State or Territory Shapefile USGS National Landcover - Woodland in Minnesota 20190813 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in New York 20190924 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in North Dakota 20200716 State or Territory Shapefile USGS National Landcover - Woodland in Ohio 20191108 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in Oklahoma 20190610 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for California 20181111 State or Territory FileGDB 10.1 National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States USGS National Landcover - Woodland in Texas 20190613 State or Territory FileGDB 10.1 ArcHydro 8-digit HUC datasets for Idaho StreamStats DS-777 Annual Model-Backcasted Land-Use/Land-Cover Rasters from 1949 to 2008 for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming DS-777 Annual Model-Forecasted Land-Use/Land-Cover Rasters from 2009 to 2050 for the A2 Climate Scenario for the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile Data on denitrification and ecological characteristics of nontidal floodplains, Chesapeake Bay watershed, USA, 2013-2016 USGS National Landcover - Woodland in Ohio 20191108 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Mississippi 20160519 State or Territory Shapefile USGS National Landcover - Woodland in North Dakota 20200716 State or Territory Shapefile USGS National Landcover - Woodland in Illinois 20191007 State or Territory Shapefile USGS National Landcover - Woodland in Oklahoma 20190610 State or Territory FileGDB 10.1 National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States USGS Land Cover - Woodland for Missouri 20180127 State or Territory Shapefile USGS National Landcover - Woodland in New York 20190924 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in Minnesota 20190813 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for California 20181111 State or Territory FileGDB 10.1 A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning DS-777 Annual Model-Forecasted Land-Use/Land-Cover Rasters from 2009 to 2050 for the A2 Climate Scenario for the High Plains Aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming ArcHydro 8-digit HUC datasets for Idaho StreamStats USGS National Landcover - Woodland in Texas 20190613 State or Territory FileGDB 10.1 DS-777 Annual Model-Backcasted Land-Use/Land-Cover Rasters from 1949 to 2008 for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent  - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area