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 …
northeastern Himalayas, which puts adverse impacts on the environment and society …
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India
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 …
Ghats, India. This study investigates the applicability of various geospatial data, machine …
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
In the hilly region of the Western Himalayas, forest fires play a crucial role in forest
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
[HTML][HTML] Ensembling machine learning models to identify forest fire-susceptible zones in Northeast India
Forest fires pose significant challenges by disrupting ecological balance, impacting socio-
economic harmony, and raising global concerns. North-East India (NEI) experiences high …
economic harmony, and raising global concerns. North-East India (NEI) experiences high …
[HTML][HTML] Forest fire susceptibility zonation in Eastern India using statistical and weighted modelling approaches
Recurring forest fires disturb ecological balance, impact socio-economic harmony, and raise
global concern. This study implements multiple statistical and weighted modelling …
global concern. This study implements multiple statistical and weighted modelling …
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 …
most significant management concern. Therefore, identifying and predicting the fire …
Landsat-8 and Sentinel-2 based Forest fire burn area mapping using machine learning algorithms on GEE cloud platform over Uttarakhand, Western Himalaya
The accurate quantitative and qualitative estimation of burn-area are crucial to analyze the
impact of fire on forest. The medium resolution optical-satellite imagery of Landsat-8 and …
impact of fire on forest. The medium resolution optical-satellite imagery of Landsat-8 and …
Forest fire risk assessment in parts of Northeast India using geospatial tools
K Puri, G Areendran, K Raj, S Mazumdar… - Journal of forestry …, 2011 - Springer
Forest fire is a major cause of changes in forest structure and function. Among various
floristic regions, the northeast region of India suffers maximum from the fires due to age-old …
floristic regions, the northeast region of India suffers maximum from the fires due to age-old …
A comparative analysis of forest fire risk zone mapping methods with expert knowledge
Despite repeated occurrences of forest fire, very less scientific studies have been reported in
the Indian context especially in Kudremukh region to mitigate and suppress the fire. The …
the Indian context especially in Kudremukh region to mitigate and suppress the fire. The …
Modeling and prediction of fire occurrences along an elevational gradient in Western Himalayas
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 …
conditions. Climate change would alter the link between forest fire and the controlling …