Selection of optimal scales for soil depth prediction on headwater hillslopes: A modeling approach
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DOI: 10.1016/j.catena.2017.12.026
Abstract: Abstract Landform attributes derived from digital elevation models (DEMs) are the most commonly used factors to predict soil depths on hillslopes. However, the selection of an appropriate algorithm to calculate terrain attributes and identify an… read more here.
Keywords: resolution; soil depth; prediction; optimal dem ... See more keywords