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Title: Development of an automatic soil texture extraction routine using combined SSURGO and STATSGO2 dataset
Authors: Cotterman, Kayla A.
Pradhan, Nawa Raj.
Keywords: Soils
Publisher: Coastal and Hydraulics Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC/CHL;CHETN-X-4
Abstract: The purpose of this Coastal and Hydraulics Engineering Technical Note (CHETN) is to document an approach that can be utilized for user-specified project sites to create a complete set of soil texture classifications for locations of interest within the United States. This is accomplished by using the Soil Survey Geographic (SSURGO) dataset in combination with the U.S. General Soil Map (STATSGO2) dataset to replace the missing values in the SSURGO dataset. The datasets are separated into tabular and spatial datasets; then, by using Python and Geographic Information Systems (GIS) (analyses as described herein), the tabular data can be added to the spatial data creating a complete soils dataset.
Appears in Collections:CHETN - SECTION 10 - Engineering Hydrology

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