Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam-Reference-Cited by-同舟云学术

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Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam

Published:2024-04 Issue: Volume:105 Page:104391
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Dang Kinh Bac^ORCID,Giang Tuan Linh,Dang Van Bao,Phan Trong Trinh^ORCID,Truong Quang Hai,Ngo Van Liem^ORCID,Do Trung Hieu,Dang Nguyen Vu,Forino Giuseppe^ORCID

Funder

Vingroup Joint Stock Company

Publisher

Elsevier BV

Reference70 articles.

1. Chapter 5 - hazard identification—natural hazards;Islam,2016

2. Global fatal landslide occurrence from 2004 to 2016;Froude;Nat. Hazards Earth Syst. Sci.,2018

3. Characterising the spatial distribution, frequency and geomorphic controls on landslide occurrence, Molise, Italy;Borgomeo;Geomorphology,2014

4. Spatial and temporal analysis of a global landslide catalog;Kirschbaum;Geomorphology,2015

5. Remote sensing of landslides-A review;Zhao;Rem. Sens.,2018

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