Deforestation probability assessment using integrated machine learning algorithms of Eastern Himalayan foothills (India)

Author:

Saha Soumik,Bhattacharjee Sumana,Shit Pravat Kumar,Sengupta Nairita,Bera Biswajit

Publisher

Elsevier BV

Reference69 articles.

1. Support Vector Machines for Pattern Classification;Abe,2010

2. Analysis and detection of deforestation using novel remote-sensing technologies with satellite images;Babu,2018

3. Environmental predictors of forest change: an analysis of natural predisposition to deforestation in the tropical Andes region;Bax;Peru. Appl. Geogr.,2018

4. Dynamics of deforestation and forest degradation hotspots applying geo-spatial techniques, apalchand forest in terai belt of himalayan foothills: conservation priorities of forest ecosystem;Bera;Remote Sens. Appl.: Soc. Environ.,2021

5. Forest cover dynamics (1998 to 2019) and prediction of deforestation probability using binary logistic regression (BLR) model of Silabati Watershed, India;Bera;Trees Forests People,2020

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