Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India-Reference-Cited by-同舟云学术

Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

Published:2023-12 Issue: Volume: Page:
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Surbhi Singh Sumedha,Jeganathan C.

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference91 articles.

1. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015;Abatzoglou;Scientific Data 2018 5:1,2018

2. Impact of anthropogenic climate change on wildfire across western US forests;Abatzoglou;Proceedings of the National Academy of Sciences of the United States of America,2016

3. A geospatial analysis of climate variability and its impact on forest fire: a case study in Orissa state of India;Ahmad;Spatial Information Research,2018

4. Forest Fire Trend and Influence of Climate Variability in India: A Geospatial Analysis at National and Local Scale;Ahmad;Ekologia Bratislava,2019

5. Introducing a new remote sensing-based model for forecasting forest fire danger conditions at a four-day scale;Ahmed;Remote Sensing,2019

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