This study reviews deep learning architectures and techniques used in the landslide domain. This study aims to understand the state of the art, challenges, and opportunities of applying deep learning to landslide research. Every paper discussed in this article is...
CITATION STYLE
Higaki, D., Hirota, K., Dang, K., Nakai, S., Kaibori, M., Matsumoto, S., … Sassa, K. (2023). Landslides and Countermeasures in Western Japan: Historical Largest Landslide in Unzen and Earthquake-Induced Landslides in Aso, and Rain-Induced Landslides in Hiroshima (pp. 287–307). https://doi.org/10.1007/978-3-031-18471-0_22
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