“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

Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050

As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering part of the northern Great Basin (Beaty Butte Herd Management Area, Hart Mountain National Antelope Refuge, and Sheldon National Refuge). The dataset contains an empirically-based business-as-usual (BAU) and an RCP8.5 climate change scenario executed for shrub, herbaceous, and bare cover types. Each scenario is executed 30 times (i.e. Monte Carlo simulations) to account for variability across historical change estimates derived from annual fractional cover maps generated by the National Land Cover Database. The map dates...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Geography, Great Basin, Land Use Change, Nevada, Oregon, All tags... Remote Sensing, USGS Science Data Catalog (SDC), USGS-EMA-LOW-PL Sagebrush Steppe, barren lands, biota, climatologyMeteorologyAtmosphere, environment, grasslands, shrubland ecosystems, shrublands, Fewer tags