GIS and ML-Driven Insights into Forest Vulnerability and Climate Hotspots  in Assam, India

Sayanta Ghosh; Aakash Warman; Pranjul Chauhan; Aniruddh Soni; Jitendra Vir Sharma

doi:10.9734/ajee/2025/v24i4676

Research Article Open access CC BY 4.0

GIS and ML-Driven Insights into Forest Vulnerability and Climate Hotspots in Assam, India

Sayanta Ghosh, Aakash Warman, Pranjul Chauhan, Aniruddh Soni, Jitendra Vir Sharma

Asian Journal of Environment & Ecology · pp. 1–9 · Published 19 Mar 2025

10.9734/ajee/2025/v24i4676

Abstract

This study assesses the impact of regional climate variability on forest vulnerability in Assam using a GIS and Machine Learning (ML)-based approach. A grid-based Forest Vulnerability Index (FVI) was developed using eight key indicators, and climate change hotspots were mapped using temperature and precipitation anomalies. The results revealed that 87 forested grids are highly vulnerable, with significant overlaps between climate hotspots and biodiversity risk zones. The study highlights the urgent need for adaptive forest management, AI-driven monitoring, and policy interventions to mitigate climate-induced risks.

Forest vulnerability biodiversity mapping climate hotspots forest canopy density fire risk machine learning GIS

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Sayanta Ghosh, Aakash Warman, Pranjul Chauhan, Aniruddh Soni, Jitendra Vir Sharma (2025). GIS and ML-Driven Insights into Forest Vulnerability and Climate Hotspots in Assam, India. Asian Journal of Environment & Ecology , 1–9. https://doi.org/10.9734/ajee/2025/v24i4676

Affiliations

Sayanta Ghosh — The Energy and Resources Institute (TERI), Lodhi Road, New Delhi-110003, India.
Aakash Warman — The Energy and Resources Institute (TERI), Lodhi Road, New Delhi-110003, India.
Pranjul Chauhan — The Energy and Resources Institute (TERI), Lodhi Road, New Delhi-110003, India.
Aniruddh Soni — The Energy and Resources Institute (TERI), Lodhi Road, New Delhi-110003, India.
Jitendra Vir Sharma — The Energy and Resources Institute (TERI), Lodhi Road, New Delhi-110003, India.

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