Sensitivity analysis of regional rainfall-induced landslide based on UAV photogrammetry and LSTM neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nature and Landscape Conservation,Earth-Surface Processes,Geology,Geography, Planning and Development,Global and Planetary Change
Link
https://link.springer.com/content/pdf/10.1007/s11629-023-7991-z.pdf
Reference66 articles.
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2. Acharya TD, Tae YI, Lee D (2017) GIS-based Landslide Susceptibility Mapping of Bhotang, Nepal using Frequency Ratio and Statistical Index Methods. J Korean Soc Surv Geod Photogramm Cartogr 35(5): 357–364. https://doi.org/10.7848/ksgpc.2017.35.5.357
3. Basu T, Pal S (2020) A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India. Environ Dev Sustain 22(5): 4787–4819. https://doi.org/10.1007/s10668-019-00406-4
4. Baum RL, Savage WZ, Godt JW (2002) TRIGRS - A Fortran Program for transient Rainfall Infiltration and Grid-Based Regional Slope-Stability analysis. USGS, Colorado. https://doi.org/10.3133/ofr02424
5. Bel-Lahbib S, Namr KI, Rerhou B, et al. (2023) Assessment of soil quality by modeling soil quality index and mapping soil parameters using IDW interpolation in Moroccan semi-arid. Model Earth Syst Environ. https://doi.org/10.1007/s40808-023-01718-1
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