Study on forest fire risk in Conghua district of Guangzhou city based on multi-source data

Hongrui Wen, Qiaozhen Guo (), Yuhuai Zeng (), Zepeng Wu and Zhenhui Sun
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Hongrui Wen: Tianjin Chengjian University
Qiaozhen Guo: Tianjin Chengjian University
Yuhuai Zeng: Guangzhou Institute of Geography, Guangdong Academy of Sciences
Zepeng Wu: Guangdong Academy of Forestry
Zhenhui Sun: Tianjin Chengjian University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 114, issue 3, No 33, 3163-3183

Abstract: Abstract Forest fire not only seriously affects the stability of forest ecosystem, but also threatens the safety of human life and property. It is very important to evaluate and forecast the risk of forest fire. This paper takes Conghua District of Guangzhou City as the research area. Based on Landsat 8 OLI/TIRS data, Sentinel-1 data, nighttime light data, DEM data, the seven evaluation factors of fuel moisture content, land surface temperature, altitude, slope, proximity to river, proximity to road and proximity to settlement are calculated. The forest fire risk assessment index system is constructed by analytic hierarchy process. Data from 326 historical active fires obtained by NASA-FIRMS website are used to verify. The area under the ROC curve (AUC) is used to estimate the performance of the forest fire risk map. The result shows that the value of AUC is 0.791, indicating that the forest fire risk assessment index system has good applicability to Conghua District of Guangzhou City, and it can provide scientific reference for the establishment of forest fire risk assessment index system in other areas.

Keywords: Remote sensing; GIS; Forest fire risk; FMC; LST (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-022-05510-9

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