Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China-Reference-Cited by-同舟云学术

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Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China

Published:2024-08 Issue: Volume:132 Page:104080
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Chen Rui,He Binbin,Li Yanxi,Zhang Yiru,Liao Zhanmang,Fan Chunquan,Yin Jianpeng,Zhang Hongguo

Publisher

Elsevier BV

Reference74 articles.

1. Albini, F.A., et al., 1979. Spot Fire Distance from Burning Trees: A Predictive Model. USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, USA.

2. Modelling the effects of surface and crown fire behaviour on serotinous cone opening in jack pine and lodgepole pine forests;Alexander;Int. J. Wildland Fire,2012

3. Fuel types and crown fire potential in Pinus halepensis forests;Alvarez;Eur. J. for. Res.,2012

4. The Global Fire Atlas of individual fire size, duration, speed and direction;Andela;Earth Syst. Sci. Data,2019

5. Estimation of Live Fuel Moisture Content From MODIS Images for Fire Danger Assessment in Southern Gran Chaco. IEEE J;Arganaraz;Sel. Top. Appl. Earth Obs. Remote Sens.,2016

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