Prediction of forest fire susceptibility applying machine and deep learning algorithms for conservation priorities of forest resources

Author:

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

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference56 articles.

1. Assessment of forest fire impacts on carbonaceous aerosols using complementary molecular marker receptor models at two urban locations in California's San Joaquin Valley;Bae;Environ. Pollut.,2019

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3. 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. Appli. Society Environ.,2021

4. Estimation of forest canopy cover and forest fragmentation mapping using Landsat satellite data of Silabati river Basin (India);Bera;KN. J. Cartogr. Geogr. Inf.,2020

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 and People,2020

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