Modeling and prediction of fire occurrences along an elevational gradient in Western Himalayas

S Bar, BR Parida, AC Pandey, BU Shankar, P Kumar… - Applied geography, 2023 - Elsevier
Forest fires are the result of complex interactions among human, geographic and weather
conditions. Climate change would alter the link between forest fire and the controlling …

Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach

KN Babu, R Gour, K Ayushi, N Ayyappan… - Forest Ecology and …, 2023 - Elsevier
In ecologically sensitive areas like the Western Ghats, fire is largely considered to be the
most significant management concern. Therefore, identifying and predicting the fire …

Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India

AL Achu, J Thomas, CD Aju, G Gopinath, S Kumar… - Ecological …, 2021 - Elsevier
The recurrent forest fires have been a serious management concern in southern Western
Ghats, India. This study investigates the applicability of various geospatial data, machine …

Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India

Q Renard, R Pélissier, BR Ramesh… - … Journal of Wildland …, 2012 - CSIRO Publishing
Forest fires are a recurrent management problem in the Western Ghats of India. Although
most fires occur during the dry season, information on the spatial distribution of fires is …

Forest fire susceptibility mapping by integrating remote sensing and machine learning algorithms

Shahfahad, S Talukdar, T Das… - Advances in Remote …, 2022 - Wiley Online Library
Forest fires are a very common in India, especially in the hilly regions of the western and
northeastern Himalayas, which puts adverse impacts on the environment and society …

Study of driving factors using machine learning to determine the effect of topography, climate, and fuel on wildfire in pakistan

W Rafaqat, M Iqbal, R Kanwal, W Song - Remote Sensing, 2022 - mdpi.com
As the climate changes with the population expansion in Pakistan, wildfires are becoming
more threatening. The goal of this study was to understand fire trends which might help to …

[HTML][HTML] Ensembling machine learning models to identify forest fire-susceptible zones in Northeast India

MS Sarkar, BK Majhi, B Pathak, T Biswas… - Ecological …, 2024 - Elsevier
Forest fires pose significant challenges by disrupting ecological balance, impacting socio-
economic harmony, and raising global concerns. North-East India (NEI) experiences high …

Predictive modeling of forest fire using geospatial tools and strategic allocation of resources: eForestFire

A Qayum, F Ahmad, R Arya, RK Singh - … Environmental Research and Risk …, 2020 - Springer
Fire is among major threats to the world's forests, leading to tremendous biodiversity losses.
Forest fire in India has greatly increased in the last few decades; the state of Arunachal …

Predicting forest fire using multispectral satellite measurements in Nepal

A Qadir, NR Talukdar, MM Uddin, F Ahmad… - Remote Sensing …, 2021 - Elsevier
The present study examined the geospatial datasets concerning fire points, topography,
vegetation types, tree cover percent, ecological zone, and climate to understand the …

Assessment of forest fire severity and land surface temperature using Google Earth Engine: a case study of Gujarat State, India

KH Jodhani, H Patel, U Soni, R Patel, B Valodara… - Fire Ecology, 2024 - Springer
Forest fires are a recurring issue in many parts of the world, including India. These fires can
have various causes, including human activities (such as agricultural burning, campfires, or …