Comparing Convolutional Neural Network and Machine Learning Models in Landslide Susceptibility Mapping: A Case Study in Wenchuan County

Landslides are one of the most widespread disasters and threaten people’s lives and properties in many areas worldwide. Landslide susceptibility mapping (LSM) plays a crucial role in the evaluation and extenuation of risk. To date, a large number of machine learning approaches have been applied to L...

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Bibliografiset tiedot

Päätekijät:	Sikui Zhang, Lin Bai, Yuanwei Li, Weile Li, Mingli Xie
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2022-05-01
Sarja:	Frontiers in Environmental Science
Aiheet:	convolutional neural network landslide susceptibility machine learning GIS Wenchuan County
Linkit:	https://www.frontiersin.org/articles/10.3389/fenvs.2022.886841/full
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