Open AccessRemote Sensing and GIS Application to Establish a Forest Fire Risk Map for Planning of Forest Fire Prevention and Mitigation in Son La Province, Vietnam
Author(s) -
Pham Xuan Canh
Publication year - 2017
Publication title -
tạp chí khoa học đại học quốc gia hà nội: nghiên cứu giáo dục (vnu journal of science: education research)/tạp chí khoa học đại học quốc gia hà nội: các khoa học trái đất và môi trường (vnu journal of science: earth and environmental sciences)
Language(s) - English
Resource type - Journals
eISSN - 2615-9279
pISSN - 2588-1094
DOI - 10.25073/2588-1094/vnuees.4088
Subject(s) - geography , fire prevention , damages , analytic hierarchy process , scale (ratio) , forest management , environmental science , geographic information system , environmental resource management , forestry , environmental protection , physical geography , remote sensing , cartography , architectural engineering , engineering , operations research , political science , law
Son La is a mountainous province in the Northwest of Vietnam with many ethnic groups, and has an area of 14,125 km², accounting for 4.27% of the total area of Vietnam. The forest land accounts for 73% of the total natural area of the province with 357,000 ha of forest. Among this having 4 areas of special use and the natural reserve forest. Every year, hundreds of forest fires cause huge natural, economic and ecological damages to the province. Due to the climate change, forest fires tend to increase in recent years. In order to prevent the fires, warning maps of the forest fire risk are needed. The research has analyzed mechanism and causes of the forest fires, and built a forest fire-related database with multi-layers of natural, social and economic information, in these, some layers were extracted from the Landsat 7 images. The expert method was applied for assessement and Saaty's Hierarchical Analysis (AHP) methods were applied to determine the weight for separated parameters related to forest fires. The research applied the MCA method to build a multi-indicator function with 9 parameters for establishing the forest fire risk map at the scale of 1:100,000 for provincial levels. In verifying the results by regression correlation analysis, the R2 value reached 0.71.These maps have been used for the purpose of forest fire prevention planning for Son La province.