中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Delineating Fire-Hazardous Areas and Fire-Induced Patterns Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires in Northeast China

文献类型:期刊论文

作者Li, Wenjun2,3; Li, Peng2,3; Feng, Zhiming1,2,3
刊名REMOTE SENSING
出版日期2022-10-01
卷号14期号:20页码:18
关键词VIIRS active fire fire-hazardous area fire-induced patterns spatial recognition Northeast China
DOI10.3390/rs14205115
通讯作者Li, Peng(lip@igsnrr.ac.cn)
英文摘要(1) Background: Fire affects global agricultural and/or forest ecosystems with high biomass accumulation. However, the delineation of fire-hazardous areas based on satellite-derived active fire intensity is not well-studied. Therefore, examining the characteristics of fire occurrence and development plays an important role in zoning fire-hazardous areas and promoting fire management. (2) Methods: A fire intensity (FI) index was developed with Visible Infrared Imaging Radiometer Suite (VIIRS) active fires and then applied to identify fire-hazardous areas in Northeast China. Combined with terrain, land cover and net primary productivity (NPP), the spatial and temporal characteristics of active fire occurrence were consistently analyzed. Next, a conceptual decision tree model was constructed for delineating fire-induced patterns impacted by varied factors in Northeast China. (3) Results: The accidental, frequent, prone and high-incidence areas of active fires defined by the FI index accounted for 31.62%, 30.97%, 26.23% and 11.18%, respectively. More than 90% of active fires occurred in areas with altitude <350 m above sea level (asl), slope <3 degrees and NPP between 2500-5000 kg center dot C/m(2). Similarly, about 75% occurred in cropland and forest. Then, four fire-induced conceptual patterns driven by different factors were classified, including the agricultural and forest active fire-induced patterns (i.e., the Agri-pattern and FRST pattern) with NPP ranging 2500-5000 kg center dot C/m(2), and two others related to settlements and unused land with an altitude <350 m asl. The Agri-pattern dominates in Northeast China because of agricultural straw burning. (4) Conclusions: Despite the national bans of open burning of straws, active fires due to agricultural production have occurred frequently in Northeast China in the last decade, followed by small and sporadic forest fires. The approach for defining fire-hazardous areas and varied fire occurrence patterns is of significance for fire management and risk prediction at continental to global scales.
WOS关键词FOREST-FIRES ; MANAGEMENT ; SEVERITY ; MOUNTAINS ; WILDFIRE ; ECOLOGY ; REGIMES ; POLICY
资助项目National Natural Science Foundation of China[41971242] ; National Natural Science Foundation of China[42130508] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2020055]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000873564200001
出版者MDPI
资助机构National Natural Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/186211]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Peng
作者单位1.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 101149, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Li, Wenjun,Li, Peng,Feng, Zhiming. Delineating Fire-Hazardous Areas and Fire-Induced Patterns Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires in Northeast China[J]. REMOTE SENSING,2022,14(20):18.
APA Li, Wenjun,Li, Peng,&Feng, Zhiming.(2022).Delineating Fire-Hazardous Areas and Fire-Induced Patterns Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires in Northeast China.REMOTE SENSING,14(20),18.
MLA Li, Wenjun,et al."Delineating Fire-Hazardous Areas and Fire-Induced Patterns Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires in Northeast China".REMOTE SENSING 14.20(2022):18.

入库方式: OAI收割

来源:地理科学与资源研究所

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