A research on a new mapping method for landslide susceptibility based on SBAS-InSAR technology
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Earth and Planetary Sciences
Reference37 articles.
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1. Enhanced Landslide Susceptibility Mapping Using Machine Learning and InSAR Integration: A Case Study in Wushan County, Three Gorges Reservoir Area, China;2024-08-18
2. Landslide Hazard Prediction Based on Small Baseline Subset–Interferometric Synthetic-Aperture Radar Technology Combined with Land-Use Dynamic Change and Hydrological Conditions (Sichuan, China);Remote Sensing;2024-07-24
3. Deformation Monitoring Based on SBAS-InSAR and Leveling Measurement: A Case Study of the Jing-Mi Diversion Canal in China;Sensors;2024-06-14
4. LANDSLIDE SUSCEPTIBILITY MAPPING USING ANALYTICAL HIERARCHY PROCESS AND GEOGRAPHICAL INFORMATION SYSTEM IN RUDNY ALTAI REGION, EAST KAZAKHSTAN;Geographia Technica;2024-03-20
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