A Study of Forest Fire Risk Zoning in Renhe District Based on RS and GIS

LIU Zhen; YANG Wu-nian; LU Qi-dong

doi:10.16779/j.cnki.1003-5508.2013.03.007

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Volume 34 Issue 3

Nov. 2019

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Article Navigation > Journal of Sichuan Forestry Science and Technology > 2013 > 34(3): 34-39

LIU Zhen, YANG Wu-nian, LU Qi-dong. A Study of Forest Fire Risk Zoning in Renhe District Based on RS and GIS[J]. Journal of Sichuan Forestry Science and Technology, 2013, 34(3): 34-39. doi: 10.16779/j.cnki.1003-5508.2013.03.007

Citation:

LIU Zhen, YANG Wu-nian, LU Qi-dong. A Study of Forest Fire Risk Zoning in Renhe District Based on RS and GIS[J]. Journal of Sichuan Forestry Science and Technology, 2013, 34(3): 34-39. doi: 10.16779/j.cnki.1003-5508.2013.03.007

A Study of Forest Fire Risk Zoning in Renhe District Based on RS and GIS

doi: 10.16779/j.cnki.1003-5508.2013.03.007

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Institute of Remote Sensing & GIS/Ministerial Key Lab of Land and Resources Information Technology & Application, Chengdu University of Technology, Chengdu 610059, China

Received Date: 2013-03-08

Abstract

Forest fire itself is a natural disaster,and is characteristic of sudden occurrence,and big damage,and relatively difficult for disposal rescue. In addition,due to the influence of the global climate anomaly,high temperature,drought,and windy weather in many regions of China increased,thus leading to forest fire risk raising. In this paper,taking Renhe District in Panzhihua City of Sichuan province as the research area,analysis is made of forest fire risk evaluation factors of the forest fire forecast system of various countries,and in combination with the actual situations of the study area,the fuel type,terrain and artificial influence are selected as forest fire danger division indices. With extraction of the classification information of fuel by remote sensing images,extraction of slope,aspect and altitude through DEM data,and buffer analysis is made of human factors. The factor weighted superimposed method is adopted to generate an integrated forest fire zoning map of Renhe District in Panzhihua City through making weight distribution for each division factor which have different impacts on the fire occurrence or spread. This zoning map can provide scientific valuable reference for the local forestry department in the deployment of resoures for forest fire prevention.
- RS;
- GIS;
- Forsest fire risk zoning;
- Forest fire prevention
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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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A Study of Forest Fire Risk Zoning in Renhe District Based on RS and GIS

doi: 10.16779/j.cnki.1003-5508.2013.03.007

Institute of Remote Sensing & GIS/Ministerial Key Lab of Land and Resources Information Technology & Application, Chengdu University of Technology, Chengdu 610059, China

Received Date: 2013-03-08

Key words:

Abstract: Forest fire itself is a natural disaster,and is characteristic of sudden occurrence,and big damage,and relatively difficult for disposal rescue. In addition,due to the influence of the global climate anomaly,high temperature,drought,and windy weather in many regions of China increased,thus leading to forest fire risk raising. In this paper,taking Renhe District in Panzhihua City of Sichuan province as the research area,analysis is made of forest fire risk evaluation factors of the forest fire forecast system of various countries,and in combination with the actual situations of the study area,the fuel type,terrain and artificial influence are selected as forest fire danger division indices. With extraction of the classification information of fuel by remote sensing images,extraction of slope,aspect and altitude through DEM data,and buffer analysis is made of human factors. The factor weighted superimposed method is adopted to generate an integrated forest fire zoning map of Renhe District in Panzhihua City through making weight distribution for each division factor which have different impacts on the fire occurrence or spread. This zoning map can provide scientific valuable reference for the local forestry department in the deployment of resoures for forest fire prevention.