The soil landscape rule-based model was used to disaggregate the soil map units by exploiting information in the Busia soil map legend and the map unit descriptions. These descriptions were used to generate rules that were applied to a fuzzy soil class map generated from a parent material map and a K-means cluster map generated from six terrain attributes, namely, multiresolution ridgetop flatness (MRRTF), multiresolution valley bottom flatness (MRVBF), SAGA Wetness Index (TWI), topographic position index (TPI), planform curvature, and profile curvature. The result was a soil class map with a spatial resolution of 30 m with an overall accuracy of 58% and a Kappa coefficient of 0.54.

Researchers should cite this work as follows:

• Minai, J. O.; Schulze, D. G. (2019). Busia Soil Class Map. Purdue University Research Repository. doi:10.4231/6D95-RH34

  BibTex | EndNote

1. Agronomy
2. Agronomy (Dept)
3. Busia Area
4. Digital Soil Mapping
5. Disaggregate
6. Kenya
7. K-Means Clustering
8. Multiresolution Ridgetop Flatness
9. Multiresolution Valley Bottom Flatness
10. Planform Curvature
11. Profile Curvature
12. Topographic Position Index