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The National Cooperative Soil Survey Program (NCSS) in the United States is a nationwide partnership of federal, regional, state, and local agencies and institutions. This partnership works together to cooperatively investigate, inventory, document, classify, and interpret soils and to disseminate, publish, and promote the use of information about the soils of the United States and its trust ...
The name of a map unit is usually named after the dominant component within the mapping unit. [2] For example, the dominant component of the mapping unit LhE—Lily sandy loam, 15 to 35 percent slopes, very stony in the Greenbrier County, West Virginia soil survey is the Lily series, which comprises 80% of the mapping unit.
Name Description; Maps and GIS of the Great Lakes Region: Great Lakes regional GIS datasets on a variety of topics hosted by the Great Lakes Commission. Regional Ecosystem Office Information Center/Library: Datasets developed for the Northwest Forest Plan: DEM, digital raster graphic, land use, watersheds, old growth, habitat, etc.
USDA soil taxonomy (ST) developed by the United States Department of Agriculture and the National Cooperative Soil Survey provides an elaborate classification of soil types according to several parameters (most commonly their properties) and in several levels: Order, Suborder, Great Group, Subgroup, Family, and Series.
A soil map is a geographical representation showing diversity of soil types or soil properties (soil pH, textures, organic matter, depths of horizons etc.) in the area of interest. [1] It is typically the result of a soil survey inventory, i.e. soil survey .
Natural Resources Conservation Service (NRCS), formerly known as the Soil Conservation Service (SCS), is an agency of the United States Department of Agriculture (USDA) that provides technical assistance to farmers and other private landowners and managers. Its name was changed in 1994 during the presidency of Bill Clinton to reflect its ...
The NRCS curve number is related to soil type, soil infiltration capability, land use, and the depth of the seasonal high water table. To account for different soils' ability to infiltrate, NRCS has divided soils into four hydrologic soil groups (HSGs). They are defined as follows. [1]
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.