Use of remote sensing-derived variables in developing a forest fire danger forecasting system
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DOI: 10.1007/s11069-013-0564-7
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References listed on IDEAS
- Litao Wang & Yi Zhou & Weiqi Zhou & Shixing Wang, 2013. "Fire danger assessment with remote sensing: a case study in Northern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 819-834, January.
- Govind, Ajit & Chen, Jing Ming & Bernier, Pierre & Margolis, Hank & Guindon, Luc & Beaudoin, Andre, 2011. "Spatially distributed modeling of the long-term carbon balance of a boreal landscape," Ecological Modelling, Elsevier, vol. 222(15), pages 2780-2795.
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Cited by:
- Abdullah Al Saim & Mohamed H. Aly, 2022. "Machine Learning for Modeling Wildfire Susceptibility at the State Level: An Example from Arkansas, USA," Geographies, MDPI, vol. 2(1), pages 1-17, January.
- Faisal, Abdullah Al & Kafy, Abdulla - Al & Afroz, Farzana & Rahaman, Zullyadini A., 2023. "Exploring and forecasting spatial and temporal patterns of fire hazard risk in Nepal's tiger conservation zones," Ecological Modelling, Elsevier, vol. 476(C).
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Keywords
MODIS; Normalized difference vegetation index; Normalized multiband drought index; Surface temperature; Fire spot;All these keywords.
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