Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China | |
其他题名 | Forest 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 | |
发表期刊 | 林业研究:英文版
![]() |
ISSN | 1007-662X |
卷号 | 16.0期号:003页码:169-174 |
摘要 | A 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. |
其他摘要 | A 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. |
关键词 | 森林火灾 人造卫星 GIS系统 地理信息系统 吉林 |
收录类别 | CSCD |
语种 | 中文 |
CSCD记录号 | CSCD:2020806 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.imr.ac.cn/handle/321006/152442 |
专题 | 中国科学院金属研究所 |
作者单位 | 1.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 |
推荐引用方式 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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论