ICT Interventions in Landslide Prediction Runout Modelling, Mitigation and Early Warning

Authors

  • K Sabarish Chief Scientist and Head, Information Systems Division at the Kerala State Council for Science, Technology and Environment (KSCSTE), India

Keywords:

Landslides, Informatics, Environment, GIS, IoT, AI, ML Disaster Management, Mobile Applications, Wayanad, Kerala

Abstract

Landslides are one of the most destructive natural hazards, especially in mountainous regions, leading to severe loss of life, property damage, and ecosystem disruption. The complex nature of landslide prediction, influenced by geological, hydrological, topographical, and climatic factors, has long been a challenge. Consequently, Informatics based tools like run out modeling for forecasting, mitigation, and early warning have become crucial, utilizing technologies such as remote sensing, GIS, IoT, and AI/ML. This paper explores the effective application of Informatics especially its AI, ML components, in landslide risk management, with a focus on real-time data acquisition, numerical prediction models, and forecasting. Topics discussed include early warning systems utilizing IoT sensor networks, mobile applications for community mobilization and real-time alerts, Challenges such as data quality, infrastructure constraints, and gaps in public awareness are also discussed. The article stresses the role of informatics in improving the accuracy of disaster prediction and enhancing disaster preparedness and response through timely warnings.

Author Biography

  • K Sabarish, Chief Scientist and Head, Information Systems Division at the Kerala State Council for Science, Technology and Environment (KSCSTE), India

    Sabarish Karunakaran is Chief Scientist and Head of the Information Systems Division at the Kerala State Council for Science, Technology and Environment (KSCSTE), India.Has PhD in computer Science. His role in the Sate includes managing ICT infrastructures, application development, e-governance initiatives and fostering scientific collaboration across the state through platforms like the SciGate-Kerala project, which aims to map and connect scientists, researchers, and academicians for interdisciplinary research collaborations. His efforts support innovation and research, particularly in environmental conservation, science popularization, and fostering industry-academia partnerships.

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Published

2024-10-24

Issue

Vol. 11 No. 4 (2024): Environmental Informatics

Section

Articles

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