RVFR: random vector forest regression model for integrated & enhanced approach in forest fires predictions

RS Bhadoria, MK Pandey, P Kundu - Ecological Informatics, 2021 - Elsevier
The forest fires is one of the most dangerous disasters to the livelihood planet of earth.
Human intervention into the field of the destruction of nature is another cause of these forest …

Climate change effects on wildfire hazards in the wildland-urban-interface–Blue pine forests of Bhutan

L Vilà-Vilardell, WS Keeton, D Thom… - Forest Ecology and …, 2020 - Elsevier
Increased wildfire activity in the Himalayan Mountains due to climate change may place
rural livelihoods at risk, yet potential climate change effects on forest fires in this region are …

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 …

[PDF][PDF] Climate induced variation in forest fire using Remote Sensing and GIS in Bilaspur District of Himachal Pradesh

S Kanga, S Kumar, SK Singh - International Journal of …, 2017 - researchgate.net
Himachal Pradesh forests have frequent incidents of forest fires especially in the months of
March to June which causes loss of forest wealth, biodiversity, ecology and environment …

Forest fire risk assessment using hotspot analysis in GIS

SNBM Said, ESMM Zahran… - The Open Civil …, 2017 - benthamopen.com
Background: Present intensifying forest fire incidents are becoming a major concern as they
pose threats to the environment, economy and human's safety. This paper aims to identify …

GIS-based forest fire susceptibility assessment by random forest, artificial neural network and logistic regression methods

R Eslami, M Azarnoush, A Kialashki… - Journal of Tropical Forest …, 2021 - JSTOR
The knowledge and prediction of spatial distribution of forest fire is essential for improving
fire prevention strategies in forest areas. Forest fire susceptibility maps of the Babolrood …

[PDF][PDF] Forest Fire Simulation Modeling using Remote Sensing & GIS.

S Kanga, SK Singh - … Journal of Advanced Research in Computer …, 2017 - researchgate.net
Forest fire is one of the major hazards causing destruction to biodiversity, environment and
humans in the Taradevi forest of Himachal Pradesh (India). The study was carried out for …

Spatio-temporal variation in land use/land cover pattern and channel migration in Majuli River Island, India

SA Pathan, K Ashwini, BS Sil - Environmental Monitoring and Assessment, 2021 - Springer
Precise land use and land cover (LULC) change information of a land surface is significant
for sustainable development programs as the earth's surface is undergoing rapid changes …

[PDF][PDF] Estimating the change in forest cover density and predicting NDVI for west Singhbhum using linear regression

A Anand, SK Singh, S Kanga - Int. J. Environ. Rehabil. Conserv, 2018 - researchgate.net
ABSTRACT Forest Canopy Density (FCD) is defined as one of the key parameters to assess
the ecological condition of a forest. The Present study deals with estimating the change in …

[PDF][PDF] Forest fire hazards vulnerability and risk assessment in Bhajji forest range of Himachal Pradesh (India): a geospatial approach

S Kanga, G Tripathi, SK Singh - Journal of Remote Sensing & GIS, 2017 - researchgate.net
The vulnerability of the Indian forests to fire varies from place to place depending upon the
type of vegetation and climate. The coniferous forest in the region is very prone to fire …