Filters: Tags: Land Use/ Land Cover (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)

Filters Date Range Past year (2) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (4) OGC WFS Layer (4) OGC WMS Layer (4) OGC WMS Service (4) Contacts Josephine A Horton John A Young U.S. Geological Survey Earth Resources Observation and Science (EROS) Center Eastern Ecological Science Center More... Categories Data (2) Data Release - Revised (1) Tag Types Theme (5) Place (5) USGS Scientific Topic Keyword (2) Harvest Set (5) Tag Schemes https://www.sciencebase.gov/vocab/category/USGSOrg/ClimateandLandUseChange (2) View Results as: JSON ATOM CSV

“ChesBay 24k – LU": Land Use/Land Cover Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were... Categories: Data; Tags: Agriculture, Aquatic Biology, Catchment, Catchments, Chesapeake, All tags... Chesapeake Bay, Chesapeake Bay Watershed, Delaware, District of Columbia, Ecology, Ecology, Forest, Geographic Information Systems, Geography, Geography, Hydrography, Hydrologic network, Hydrology, Hydrology, Impervious Surfaces, Land Use Change, Land Use Change, Land Use/ Land Cover, Lower Chesapeake Bay, Maryland, National Hydrography Dataset Plus, National Hydrography Datasets High Resolution, New York, Pennsylvania, Remote Sensing, Remote Sensing, Stream / River, USGS Science Data Catalog (SDC), United States, Upper Chesapeake Bay, Virginia, Water Resources, Water Resources, West Virginia, barren lands, cities, geospatial datasets, hydrographic datasets, hydrographic features, inlandWaters, Fewer tags LCMAP Reference Data Product 1984-2018 land cover, land use and change process attributes (ver. 1.2, November 2021) This product contains plot location data in a .shp format as well as annual land cover, land use, and change process variables for each reference data plot in a separate .csv table. The same information available in the.csv file is also provided in a .xlsx format. The LCMAP Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products. The LCMAP Reference Data Product includes the collection of an independent dataset of 25,000 randomly-distributed 30-meter by 30-meter plots across the conterminous United States (CONUS). This dataset was collected via manual image interpretation to aid in validation of... Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Conterminous United States (CONUS), Earth Resources Observation and Science Center, LCMAP, Land Use/ Land Cover, Landsat, All tags... USGS Science Data Catalog (SDC), land use and land cover change, landcover change, Fewer tags Spatial Hydro-Ecological Decision System Summarized Designing Sustainable Landscapes and National Land Cover Database Data for SHEDS Region 2 This data release is a summarization of the US Geological Survey National Land Cover Database (NLCD) 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 Land Cover datasets and the Landscape Ecology Lab at the University of Massachusetts Designing Sustainable Landscapes (DSL) datasets within the USGS Spatial Hydro-Ecological Decision System (SHEDS) framework. The output is a series of tables consisting of the summarized values of continuous variables and discrete variables, respectively, for each local SHEDS catchment within the SHEDS Hydro-Region 2 for both datasets. An additional output are tables of the continuous and discrete variables individually processed through an upstream accumulation method for each catchment... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Agriculture, Aquatic Biology, Ecology, Environmental Health, Geography, All tags... Hydrology, InlandWaters, Land Use/ Land Cover, Limnology, NLCD, Northeastern United States, SHEDS, SHEDS Region 2, USGS Science Data Catalog (SDC), Water Quality, Fewer tags 33 high-resolution scenarios of land use and vegetation change in the Prairie Potholes of the United States A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Prairie Potholes region of Great Plains. The scenarios are consistent with the same scenarios modeled for the Great Plains Landscape Conservation Cooperative region. The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (covering approximately 350,000 square kilometers), 4) use of real land ownership boundaries to ensure realistic representation of landscape patterns, and 5) representation of both anthropogenic land use and natural vegetation change. A variety of scenarios were... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Climate Research and Development, FORE-SCE, Great Plains, Great Plains, Iowa, All tags... Land Change Science, Land Cover, Land Use, Land Use/ Land Cover, Minnesota, Model, Montana, Nebraska, North Dakota, Prairie Potholes, Prairie Potholes, Projections, Scenarios, South Dakota, USGS Science Data Catalog (SDC), Fewer tags Land Cover Assignments of 300 locations in the Pacific Northwest in 2000 Area estimates of land cover and land cover change are often based on reference class labels determined by analysts interpreting satellite imagery and aerial photography. Different interpreters may assign different reference class labels to the same sample unit. This dataset include land cover attributes for the year 2000 assigned by 7 image analysts, working independently of each other, to a set of 300 sample locations from a region of the Pacific Northwest of the United States. This data was used in an evaluation of the impact of interpreter variability on variance estimation. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Earth Resources Observation and Science (EROS) Center, LCMAP, Land Use Change, Land Use/ Land Cover, Landcover, All tags... Landsat, Pacific Northwest, Remote Sensing, USGS Science Data Catalog (SDC), Fewer tags