Abstract
Identifying gully erosion susceptibility in cultivated region is important for the manager and decision makers. The present study demonstrated the application of the weight of evidence (WoE) model (a Bayesian probability model) for gully erosion susceptibility mapping using geographic information system (GIS) and remote sensing (RS) tools in the southwestern part of West Bengal, India. Eight gully erosion conditioning geo-environmental factors were considered for the susceptibility analysis, such as lithology, geomorphology, soil type, land use, slope, slope length (LS), stream power index (SPI), and wetness index (WI). Tests of conditional independence were performed for the selection of eight gully conditioning factors. Finally, gully erosion susceptibility map was prepared using the ratings of each gully conditioning factor. The resultant susceptibility map was validated using the area under the curve (AUC) method. The results indicated that the WoE model had an AUC value of 67.8%. Therefore, the WoE model is useful in gully erosion susceptibility mapping and helps decision makers in land-use planning.
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Acknowledgments
The authors thank Mr. Kartic Rishi and Mr. Nitaynanda Sar for their help in the field data collection. Ms. Rumpa Paira is sincerely acknowledged for her technical support during the preparation of this manuscript.
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Shit, P.K., Bhunia, G.S., Pourghasemi, H.R. (2020). Gully Erosion Susceptibility Mapping Based on Bayesian Weight of Evidence. In: Shit, P., Pourghasemi, H., Bhunia, G. (eds) Gully Erosion Studies from India and Surrounding Regions. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-23243-6_8
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