Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data

Mapping of landslides over space has seen an increasing attention and good results in the last decade. While current methods are chiefly applied to generate event-inventories, whereas multi-temporal (MT) inventories are rare, even using manual landslide mapping. Here, we present an innovative deep l...

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Detalles Bibliográficos
Autores principales: Bhuyan, Kushanav, Tanyaş, Hakan, Nava, Lorenzo, Puliero, Silvia, Meena, Sansar Raj, Floris, Mario, van Westen, Cees, Catani, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813262/
https://www.ncbi.nlm.nih.gov/pubmed/36599911
http://dx.doi.org/10.1038/s41598-022-27352-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813262/
https://www.ncbi.nlm.nih.gov/pubmed/36599911
http://dx.doi.org/10.1038/s41598-022-27352-y

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