Abstract
This chapter applies the first transfer learning application to landslides susceptibility based on a nationwide dataset and proposed a 1D CNN-bidirectional long short-term memory model on the basis of LandslideNet to deal with the input shaped as a one-dimensional array. It was used to extract the characteristics of the areas prone to landslides based on an area with dense data points (source domain) first, then the obtained knowledge was transferred to Chongqing for local landslide susceptibility analysis.
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Wengang, Z., Hanlong, L., Lin, W., **ng, Z., Yanmei, Z. (2023). Application of Transfer Learning to Improve Landslide Susceptibility Modeling Performance. In: Application of Machine Learning in Slope Stability Assessment. Springer, Singapore. https://doi.org/10.1007/978-981-99-2756-2_6
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DOI: https://doi.org/10.1007/978-981-99-2756-2_6
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