Yulin Ding

Mar 26, 2024 | mdpi.com | Liang Zhang |Hui Chen |Yulin Ding |Wenlong Wang

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Jun 7, 2023 | onlinelibrary.wiley.com | Liguo Zhang |Haowei Zeng |Yulin Ding |Han Hu

Landslide susceptibility evaluation (LSE) is a critical issue for disaster prevention. Limited by labor cost and observation technology, landslide samples are extremely limited in dense vegetation-covered and remote areas, making the common supervised learning model underfit with limited samples. Therefore, the reliability of analysis results in mountainous areas is low. Transfer learning can achieve reliable assessment without the need for representative samples.