Development of an Automatic Soil Texture Extraction Routine Using Combined SSURGO and STATSGO2 Dataset

reportActive / Technical Report | Accession Number: AD1064163 | Open PDF

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.

Author(s):
Cotterman, Kayla A. ; Pradhan, Nawa R.
Author Organization(s):
ERDC VICKSBURG United States
Descriptive Note:
Technical Report
Pagination:
0011

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ERDC/CHL-CHETN-X-4
Monitor Series:
ERDC/CHL-CHETN-X-4
 Subject Terms
Joint Capability Areas:
JCA_6.4.1_Secure Information Exchange; JCA_6_Net Centric; JCA_5.3_Planning; JCA_5_Command and Control; JCA_6.4_Information Assurance
Communities of Interest:
Materials and Manufacturing Processes
Descriptor(s):
soil surveys, data set, geographic information systems, PROGRAMMING LANGUAGES, Correlation, classification
Field(s)/Group(s):
Geology, Geochemistry and Mineralogy, Computer Programming and Software
Keyword(s):
soil texture classifications, ssurgo (soil survey geographic), stastog2 US general soil map), fao (Food and Agriculture Organization), Python, ArcGIS, Python Script Customizing, Soil Resolution Analysis
Report Date:
2017 Dec 01
Creation Date:
2018 Dec 04