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Soil organic matter (SOM) is an important soil property that affects physical, chemical, and biological properties of soil. Accurate estimation of SOM variability could provide critical information for understanding nutrients cycling and sediment. In the current study, artificial neural networks (ANNs) were developed to predict SOM variability based on topographic variables (topographic wetness index,...
The accuracy of topographic indices derived from digital elevation models (DEMs) is of critical importance for eco-environment simulating and modeling based on DEMs. The objective of this study was to evaluate the accuracy of topographic indices derived from DEMs with different scales. Maps with scales of 1:10000, 1:50000, 1:100000, and 1:250000 were digitized and corresponding DEMs were produced...
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