Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed

Table 2

Regression coefficients (𝑅²) of the predicted soil attributes for different classes.

Class	Soil depth (cm)	Clay content (%)	Silt content (%)	Sand content (%)	Organic matter (%)	Bulk density (gm cm^−3)	pH	Total nitrogen (%)	Available phosphorus (ppm)	Stone at surface (%)	Stone in soil (%)
1	0.45	0.12	0.21	0.16	0.25	0.34	0.39	0.19	0.16	0.10	0.13
2	0.45	0.50	0.26	0.53	0.32	0.21	0.18	0.09	0.07	0.37	0.58
3	0.72	0.80	0.73	0.81	0.64	0.54	0.48	0.72	0.68	0.26	0.32
4	0.76	0.54	0.42	0.57	0.85	0.65	0.37	0.78	0.71	0.69	0.79
5	0.53	0.38	0.26	0.06	0.26	0.48	0.79	0.19	0.50	0.21	0.54
6	0.34	0.52	0.24	0.52	0.18	0.26	0.14	0.26	0.18	0.07	0.28
7	0.25	0.33	0.33	0.26	0.25	0.36	0.32	0.19	0.15	0.17	0.18