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This is a Quantitative Study study.

October 8, 2025Remote SensingOpen Access

Estimating Gully Erosion Induced by Heavy Rainfall Events Using Stereoscopic Imagery and UAV LiDAR

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Gully erosion depths were quantified from 2014 to 2024, revealing a net elevation loss of 2.6 m.
Erosion depths reached up to 8 m in sub-watersheds, highlighting severe landscape alteration.
Deep learning frameworks were utilized to identify erosion patches from satellite imagery.
The approach enhances understanding of gully erosion dynamics through high-resolution remote sensing.

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This analysis quantifies gully erosion depths influenced by heavy rainfall and human activities, suggesting implications for soil conservation.

Wang et al. (2025) studied this question.

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This analysis quantifies gully erosion depths influenced by heavy rainfall and human activities, suggesting implications for soil conservation.