Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya

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By Joshua Minai1, Darrell Schulze1

Purdue University

Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.

Version 1.0 - published on 18 Nov 2019 doi:10.4231/4DBT-2W68 - cite this Content may change until committed to the archive on 18 Dec 2019

Licensed under CC0 1.0 Universal

Description

How can soil classes within a soil map unit be disaggregated? To answer this question, a soil landscape-rule based approach was used to disaggregate the soil map units by exploiting information in the map legend and the map unit descriptions. The descriptions often contain the mental soil landscape models used by the original soil surveyor(s) and were extracted from both the Busia soil survey report and soil class descriptions from the legend of the Soil Map of the World (FAO/UNESCO, 1974) and quantified by a set of rules. Second, a digital model must be developed that represents the landscape and environmental conditions of the original landscape. Environmental conditions of the study area were captured using six terrain attributes derived from a 30 m digital elevation model (DEM) in SAGA-GIS and parent material map extracted from the soil polygon map were used. Third, the rules that describe the locations of the different soil classes in the landscape must be applied to the digital model to place the soil classes in their most likely position(s) in the landscape.

FAO-UNESCO. (1974). Soil Map of the World, 1:5,000,000. Vol. 1: Legend. UNESCO, Paris, France.

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