Investigating the spatial distribution of flood inundation and landforms using topographic position index (TPI) and geomorphon-based automated landform classification methods
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12040-024-02343-x.pdf
Reference89 articles.
1. Agrawal N and Dixit J 2022a Topographic classification of North Eastern Region of India using geospatial technique and following seismic code provisions; Environ. Earth Sci. 81(18) 436, https://doi.org/10.1007/s12665-022-10556-w.
2. Agrawal N and Dixit J 2022b Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models; All Earth 34(1) 179–201, https://doi.org/10.1080/27669645.2022.210125.
3. Agrawal N and Dixit J 2023 GIS-based landslide susceptibility mapping of the Meghalaya–Shillong Plateau region using machine learning algorithms; Bull. Eng. Geol. Environ. 82(5) 170, https://doi.org/10.1007/s10064-023-03188-2.
4. Agrawal N, Gupta L and Dixit J 2021 Assessment of the socioeconomic vulnerability to seismic hazards in the national capital region of India using factor analysis; Sustainability 13(17) 9652, https://doi.org/10.3390/su13179652.
5. Agrawal N, Gupta L and Dixit J 2022 Geospatial assessment of active tectonics using SRTM DEM-based morphometric approach for Meghalaya, India; All Earth 34(1) 39–54, https://doi.org/10.1080/27669645.2022.2081112.
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