An integrated approach for mapping slow-moving hillslopes and characterizing their activity using InSAR, slope units and a novel 2-D deformation scheme
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06353-8.pdf
Reference61 articles.
1. Alvioli M, Mondini AC, Fiorucci F et al (2018) Topography-driven satellite imagery analysis for landslide mapping. Geomat Nat Haz Risk 9:544–567. https://doi.org/10.1080/19475705.2018.1458050
2. Aslan G, Foumelis M, Raucoules D et al (2020) Landslide mapping and monitoring using persistent scatterer interferometry (PSI) technique in the French Alps. Remote Sens 12:1305. https://doi.org/10.3390/rs12081305
3. Bamler R, Hartl P (1998) Synthetic aperture radar interferometry. Inverse Prob 14:R1–R54. https://doi.org/10.1088/0266-5611/14/4/001
4. Bekaert DPS, Hooper A, Wright TJ (2015) A spatially variable power law tropospheric correction technique for InSAR data. J Geophys Res Solid Earth 120:1345–1356. https://doi.org/10.1002/2014JB011558
5. Bekaert DPS, Handwerger AL, Agram P, Kirschbaum DB (2020) InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: an application to Nepal. Remote Sens Environ 249:111983. https://doi.org/10.1016/j.rse.2020.111983
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1. Automatic recognition of active landslides by surface deformation and deep learning;Progress in Physical Geography: Earth and Environment;2024-08-24
2. A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area;Engineering Geology;2024-08
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