Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya

Author:

Chen Tzu-Hsin Karen,Kincey Mark E.,Rosser Nick J.,Seto Karen C.

Funder

NASA

Yale Institute for Biospheric Studies

UKRI

Global Challenges Research Fund

Publisher

Elsevier BV

Reference60 articles.

1. Landslide mapping using object-based image analysis and open source tools;Amatya;Eng. Geol.,2021

2. Automated spatiotemporal landslide mapping over large areas using rapideye time series data;Behling;Remote Sens.,2014

3. Derivation of long-term spatiotemporal landslide activity—a multi-sensor time series approach;Behling;Remote Sens. Environ.,2016

4. Detecting and monitoring long-term landslides in urbanized areas with nighttime light data and multi-seasonal Landsat imagery across Taiwan from 1998 to 2017;Chen;Remote Sens. Environ.,2019

5. Temporal and spatial differentiation in the surface recovery of post-seismic landslides in Wenchuan earthquake-affected areas;Chen;Eco. Inform.,2021

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