The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Land Cover Database - Impervious Surfaces

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  {
    "@type": "dcat:Distribution",
    "title": "StreamCat Dataset",
    "format": "API",
    "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
    "description": "StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.

These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
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    "@type": "dcat:Distribution",
    "title": "National Land Cover Database - Impervious Surfaces",
    "format": "Comma-Separated Values (.csv)",
    "mediaType": "text/csv",
    "describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
    "description": "This dataset represents data derived from the NLCD dataset and the National Hydrography Dataset version 2.1(NHDPlusV2) (see Data Sources for links to NHDPlusV2 data and NLCD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated upstream catchments to provide watershed-level metrics for imperviousness values within the NLCD.  This data set is derived from the NLCD Impervious Surfaces raster, which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Landsat satellite data. This dataset will include additional years as they become available. ",
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