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Gully Head Susceptibility Map for Africa by aster.govaert is a document available to read on EtoBox.

This study presents a logistic probability model to predict gully head density across Africa at a 30 m resolution, addressing the challenge of limited datasets on gully erosion. Using a comprehensive database of 31,531 gully heads mapped from high-resolution Google Earth imagery, the model incorporates factors such as topography, climate, vegetation, and soil characteristics. The resulting gully head susceptibility map aims to aid in understanding and managing gully erosion, which poses significant risks to

Author
aster.govaert
Language
EN