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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

DOI :

10.3791/58189-v

9:44 min

October 16th, 2018

October 16th, 2018

9,645 Views

1Department of Geographical Sciences, University of Maryland, 2Hydrology & Remote Sensing Laboratory, Agricultural Research Service, United States Department of Agriculture

Landscape processes are critical components of soil formation and play important roles in determining soil properties and spatial structure in landscapes. We propose a new approach using stepwise principal component regression to predict soil redistribution and soil organic carbon across various spatial scales.

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Principal Components

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