Research Article

Digital Soil Mapping in the Absence of Field Training Data: A Case Study Using Terrain Attributes and Semiautomated Soil Signature Derivation to Distinguish Ecological Potential

Figure 2

Class signatures for three spectrally distinct classes as determined using a minimum Transformed Divergence value of 1,900 (a). Six image bands were used in the maximum likelihood supervised classification; four bands were derived from a 24 Feb 2002 Landsat ETM+ image, and two were derived from a digital terrain model based on 5 m resolution IFSAR data. Band values represent atmospherically corrected reflectance (e.g., Bands 1 and 7), normalized difference ratios, or topographic derivatives standardized to range between zero and one. Average (standard deviation) absolute values for slope (b) and maximum planar curvature (c).
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