Evaluation of different factor assignment methods for slope unit-based landslide susceptibility assessment: a case study in Fengjie County, China

Using slope units (SUs) as analysis units can significantly enhance the readability and interpretability of landslide susceptibility maps. To bridge the scale gap between polygon-format SU data and raster-format landslide conditioning factor data, statistical values derived from grid cells must be a...

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Xehetasun bibliografikoak

Egile Nagusiak:	Hongjuan Yang, Shaojie Zhang, Kaiheng Hu, Yifan Jia, Xiuying Wang, Jianyang Song, Hua Tian
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Taylor & Francis Group 2025-12-01
Saila:	Geomatics, Natural Hazards & Risk
Gaiak:	Machine learning slope unit landslide susceptibility assessment data type Fengjie
Sarrera elektronikoa:	https://www.tandfonline.com/doi/10.1080/19475705.2025.2535531
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!