Chatterjee Chatterjee, Nilanchal Pattel
Assessment of Influencing Factors of Wayanad Landslides on July 30, 2024, India Using Geoinformatics
Číslo: 1/2025
Periodikum: Acta Montanistica Slovaca
DOI: 10.46544/ams.v30i1.08
Klíčová slova: Landslides; Geoinformatics; AHP; Spectral Indices; Wayanad
Pro získání musíte mít účet v Citace PRO.
Anotace:
Landslides are a major natural hazard in Wayanad, Kerala, India,
where steep terrain, intense monsoons, and human activities make the
region highly vulnerable to landslides. Assessing the key factors
influencing landslides is crucial for effective risk assessment and
mitigation. This study employs geoinformatics, the Analytic
Hierarchy Process (AHP), and spectral indices (NDVI, NDWI, BSI,
NDMI) to analyze critical parameters, including slope, rainfall,
elevation, rock type, and soil texture. By integrating remote sensing,
GIS, and multi-criteria decision-making, the research determines the
most influential factors contributing to landslides. The findings
provide valuable insights for disaster preparedness, land-use
planning, and risk reduction strategies in Wayanad.
Zobrazit více »
where steep terrain, intense monsoons, and human activities make the
region highly vulnerable to landslides. Assessing the key factors
influencing landslides is crucial for effective risk assessment and
mitigation. This study employs geoinformatics, the Analytic
Hierarchy Process (AHP), and spectral indices (NDVI, NDWI, BSI,
NDMI) to analyze critical parameters, including slope, rainfall,
elevation, rock type, and soil texture. By integrating remote sensing,
GIS, and multi-criteria decision-making, the research determines the
most influential factors contributing to landslides. The findings
provide valuable insights for disaster preparedness, land-use
planning, and risk reduction strategies in Wayanad.