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Kansas State University

Developing and evaluating a method to disaggregate legacy SSURGO soil maps

Abstract

dc:description.abstract

For soil mapping, legacy (survey) data has its greatest potential in the disaggregation of complex soil mapping units. Disaggregation in this context is possible by relating different soils within a single map unit to other known characteristics of the landscape such as slope and curvature. For the United States soil map SSURGO, virtually all current soil map units have multiple soil types (known as "series") described within them, indicating there is great potential for such disaggregation. In this study SSURGO map units are disaggregated using descriptions of soil map units and Digital Elevation Models (DEMs) for three locations in the central United States. The model presented disaggregates soil map units using information already within the soil description such as the curvature and slope in which a certain soil series is found. First, slope and curvature are calculated using National Elevation Dataset 10m resolution DEMs. Next, soils are assigned preferentially using fuzzy membership functions to the slope and curvature values for each map unit until all the possible soils are disaggregated. The area percentage of each new soil is calculated, and the model is adjusted until the SSURGO-stipulated percentage of each component is reached. The method worked best for county size areas and the newly created maps increased the number of map polygons by over 100%. The new maps were then compared to soil point data and showed similar accuracy to SSURGO and better accuracy than a similar digital soil mapping approach.

Degree

thesis:*
Grantor dc:publisher
Kansas State University
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Watson, Jordan Taylor

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • © the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/2097/41388
OAI identifier oai:identifier
oai:krex.k-state.edu:2097/41388

Chain of custody

source
Harvested from
Kansas State University
Base URL
krex.k-state.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Watson, Jordan Taylor. Developing and evaluating a method to disaggregate legacy SSURGO soil maps. Kansas State University, 2021. https://hdl.handle.net/2097/41388