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Article

Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping

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Pages 572-600 | Received 29 Nov 2019, Accepted 18 Feb 2020, Published online: 28 Mar 2020

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Read on this site (8)

Yange Li, Jiaming Yang, Zheng Han, Jiaying Li, Weidong Wang, Ningsheng Chen, Guisheng Hu & Jianling Huang. (2023) An ensemble deep-learning framework for landslide susceptibility assessment using multiple blocks: a case study of Wenchuan area, China. Geomatics, Natural Hazards and Risk 14:1.
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Huajin Li, Qiang Xu, Yusen He, Xuanmei Fan, He Yang & Songlin Li. (2021) Temporal detection of sharp landslide deformation with ensemble-based LSTM-RNNs and Hurst exponent. Geomatics, Natural Hazards and Risk 12:1, pages 3089-3113.
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Kamila Pawluszek-Filipiak & Andrzej Borkowski. (2020) On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification. Remote Sensing 12:18, pages 3054.
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Ivo Offenthaler, Astrid Felderer, Herbert Formayer, Natalie Glas, David Leidinger, Philip Leopold, Anna Schmidt & Manfred J. Lexer. (2020) Threshold or Limit? Precipitation Dependency of Austrian Landslides, an Ongoing Challenge for Hazard Mapping under Climate Change. Sustainability 12:15, pages 6182.
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