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Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China
Alternative TitleForest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China
XU Dong1; Dai Limin1; Shao Guofan1; Tang Lei2; Wang Hui1
2005
Source Publication林业研究:英文版
ISSN1007-662X
Volume16.0Issue:003Pages:169-174
AbstractA forest fire can be a real ecological disaster regardless of whether it is caused by natural forces or human activities, it is possible to map forest fire risk zones to minimize the frequency of fires, avert damage, etc. A method integrating remote sensing and GIS was developed and applied to forest fire risk zone mapping for Baihe forestry bureau in this paper. Satellite images were interpreted and classified to generate vegetation type layer and land use layers (roads, settlements and farmlands). Topographic layers (slope, aspect and altitude) were derived from DEM. The thematic and topographic information was analyzed by using ARC/INFO GIS software. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the layers (vegetation type, slope, aspect, altitude and distance from r3ads, farmlands and settlements) according to their sensitivity to fire or their fire-inducing capability. Five categories of forest fire risk ranging from very high to very low were derived automatically. The mapping result of the study area was found to be in strong agreement with actual fire-affected sites.
Other AbstractA forest fire can be a real ecological disaster regardless of whether it is caused by natural forces or human activities, it is possible to map forest fire risk zones to minimize the frequency of fires, avert damage, etc. A method integrating remote sensing and GIS was developed and applied to forest fire risk zone mapping for Baihe forestry bureau in this paper. Satellite images were interpreted and classified to generate vegetation type layer and land use layers (roads, settlements and farmlands). Topographic layers (slope, aspect and altitude) were derived from DEM. The thematic and topographic information was analyzed by using ARC/INFO GIS software. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the layers (vegetation type, slope, aspect, altitude and distance from r3ads, farmlands and settlements) according to their sensitivity to fire or their fire-inducing capability. Five categories of forest fire risk ranging from very high to very low were derived automatically. The mapping result of the study area was found to be in strong agreement with actual fire-affected sites.
Keyword森林火灾 人造卫星 GIS系统 地理信息系统 吉林
Indexed ByCSCD
Language中文
CSCD IDCSCD:2020806
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/152442
Collection中国科学院金属研究所
Affiliation1.中国科学院沈阳应用生态研究所
2.中国科学院金属研究所
Recommended Citation
GB/T 7714
XU Dong,Dai Limin,Shao Guofan,et al. Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China[J]. 林业研究:英文版,2005,16.0(003):169-174.
APA XU Dong,Dai Limin,Shao Guofan,Tang Lei,&Wang Hui.(2005).Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China.林业研究:英文版,16.0(003),169-174.
MLA XU Dong,et al."Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China".林业研究:英文版 16.0.003(2005):169-174.
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