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August 16, 2025Open Access

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

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Authors

LWLu WangChangchun University of Science and Technology YQYuan QiUniversity of Helsinki WXWei XieTongji University

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Implication

Analysis reveals net elevation loss of 2.6 m due to heavy rainfall in the gully erosion watershed, suggesting the impact of both natural processes and human activities.

Key Points

Gully erosion depths increased by 8 m in specific sub-watersheds, showing significant spatial variability over ten years.
Digital surface models were calibrated using UAV photogrammetry, providing enhanced elevation accuracy for the analysis.
Remote sensing techniques, including deep learning, were employed to identify erosion patches based on satellite imagery.
The findings highlight the critical role of extreme precipitation and human activities in soil degradation within the watershed.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68a366a20a429f797332c69f https://doi.org/10.20944/preprints202508.0354.v1

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Implication

Analysis reveals net elevation loss of 2.6 m due to heavy rainfall in the gully erosion watershed, suggesting the impact of both natural processes and human activities.

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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