| Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China |
| |
| 引用本文： | XU Dong DAI Li-min SHAO Guo-fan TANG Lei WANG Hui. Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China[J]. 林业研究, 2005, 16(3): 169-174. DOI: 10.1007/BF02856809 |
| |
| 作者姓名： | XU Dong DAI Li-min SHAO Guo-fan TANG Lei WANG Hui |
| |
| 作者单位： | [1]Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P. R. China [2]Graduate School of Chinese Academy of Sciences Beijing 100039, P. R. China [3]Departnzent of Forestry and Natural Resources, Purdue UniversiO; West Lafayette IN 47907, USA [4]Department of Management Shenvang Institute of Aeronautical Engineering, Shenyang 110034, P.R China |
| |
| 基金项目： | The sludy was supported by a grant of the National Natural Science Foundation of China （No. 70373044 and 30470302） and National Key TechnolooiesR＆D Program （No. 2001BA510B07） |
| |
| 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 |
| 文章编号： | 1007-662X（2005）03-0169-06 |
| 收稿时间： | 2005-04-26 |
| 修稿时间： | 2005-07-19 |
Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China |
| |
| Xu Dong,Dai Li-min,Shao Guo-fan,Tang Lei,Wang Hui. Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China[J]. Journal of Forestry Research, 2005, 16(3): 169-174. DOI: 10.1007/BF02856809 |
| |
| Authors: | Xu Dong Dai Li-min Shao Guo-fan Tang Lei Wang Hui |
| |
| Affiliation: | (1) Institute of Applied Ecology, Chinese Academy of Sciences, 110016 Shenyang, P. R. China;(2) Graduate School of Chinese Academy of Sciences, 100039 Beijing, P. R. China;(3) Department of Forestry and Natural Resources, Purdue University, 47907 West Lafayette, IN, USA;(4) Department of Management, Shenyang Institute of Aeronautical Engineering, 110034 Shenyang, P.R China |
| |
| Abstract: | 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 de- veloped 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 roads, 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 ac- tual fire-affected sites. |
| |
| Keywords: | Forest fire risk GIS Remote sensing Baihe forestry bureau |
| 本文献已被 CNKI 维普 SpringerLink 等数据库收录！ |
|
