Forest fire susceptibility prediction using machine learning models with resampling algorithms, Northern part of Eastern Ghat Mountain range (India)-Reference-Cited by-同舟云学术

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Forest fire susceptibility prediction using machine learning models with resampling algorithms, Northern part of Eastern Ghat Mountain range (India)

Published:2022-04-08 Issue:26 Volume:37 Page:11756-11781
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Bera Biswajit¹^ORCID,Shit Pravat Kumar²,Sengupta Nairita³,Saha Soumik¹,Bhattacharjee Sumana⁴

Affiliation:

1. Department of Geography, Sidho-Kanho-Birsha University, Purulia, India

2. PG Department of Geography, Raja Narendralal Khan Women’s College (Autonomous), Vidyasagar University, Midnapore, India

3. Department of Geography, Diamond Harbour Women’s University, Sarisha, India

4. Department of Geography, Jogesh Chandra Chaudhuri College (University of Calcutta), Kolkata, India

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2060323

Reference90 articles.

1. Forest fire susceptibility modeling using hybrid approaches

2. The Risk Assessment Study of Potential Forest Fire in Idukki Wildlife Sanctuary using RS and GIS Techniques

3. Maximum entropy-based forest fire likelihood mapping: analysing the trends, distribution, and drivers of forest fires in Sikkim Himalaya

4. MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms

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