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Journals / International Journal of Environment and Geoinformatics / 2026 / Volume: 13 Issue: 1

Geospatial Approaches to Landslide Susceptibility Mapping: A Study of Rangamati Sadar Upazila, Bangladesh

Farhana Tazneen(Bangladesh Space Research and Remote Sensing Organization (SPARRSO))0009-0001-8292-2353
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Publication Date
2026-04-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This demonstrates that conducting a thorough field survey is the best strategy to find landslides.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Landslide susceptibility mapping is one of the most effective tools for sustainable development and management in hilly regions of countries.
📊
Key Findings & Data:The landslide susceptibility map of the research area has been generated using the information value method and classified into multiple categories ranging from very low to very high susceptibility by integrating information values.
💡
Conclusion & Impact:This demonstrates that conducting a thorough field survey is the best strategy to find landslides.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Susceptibility · Landslide Inventory · Landslide Factors

Abstract

Landslide susceptibility mapping is one of the most effective tools for sustainable development and management in hilly regions of countries. An innovative approach has been taken to establish landslide inventory, and a geospatial technique has been applied to map susceptible areas. The landslide susceptibility map of the research area has been generated using the information value method and classified into multiple categories ranging from very low to very high susceptibility by integrating information values. The analysis reveals high and very high susceptibility classes in the study area are influenced by higher slopes, relatively high topography, proximity to roads and streams, sandy and loamy soils, exposed Tipam sandstone, and Bokabil formation. 31.93% and 34.91% of the Rangamati Sadar Upazila area are high and very highly susceptible, while 7.24% are moderately susceptible. Balukhali Union is the most susceptible to landslide occurrence among the seven unions in Rangamati Sadar Upazila in terms of the high and very high susceptibility classes. It is impossible to differentiate between these landslides through image interpretation only because of the area's extensive vegetation, the poor quality of Google images, and the viewing angle of satellites. This demonstrates that conducting a thorough field survey is the best strategy to find landslides.

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Cite This Article

Tazneen, F. (2026). Geospatial Approaches to Landslide Susceptibility Mapping: A Study of Rangamati Sadar Upazila, Bangladesh. International Journal of Environment and Geoinformatics, Volume: 13 Issue: 1. https://ajindex.com/articles/1413062

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