Application of Geo-informatics to Analyze Forest Fire Hazardous, Vulnerability, and Risk Areas in Mae Sot District, Tak Province
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Abstract
The purpose of this research was to apply of Geo-informatics to analyze forest fire hazardous, vulnerability, and risk areas in Mae Sot District, Tak Province. There are research methodologies consisting of surveying and collecting data from geographic information systems (GIS) and remote sensing used in the analysis, selection of criteria and rule determination of analysis, analysis of hazardous and Vulnerability areas with a multi-criteria
decision analysis process, analysis of risk areas, and knowledge extraction from the results. Forest fire hazard area analysis 14 analytical criteria were used, namely, forest type, distance from the burned forest area from the normalized burn ratio (NBR) analysis, density of MODIS hotspots, slope, elevation, aspect, average of temperature, distance from village, road, agricultural land, shifting plantation, stream, water resource, and tourist attractions. The analysis of forest fire vulnerability uses 4 criteria; the number of villages nears the forest boundary, forestry ratio, population and household density, and relative wealth index (RWI). The risk area analysis was evaluated using a hazard-vulnerability classification matrix. The study found that there were 1.49% of the very high areas, 16.19% of the high risk areas, 31.86% of the moderate risk areas, 4.85% of the low risk areas, and 45.61% of the non-risk areas. Herein, Dan Mae Lamao and Phawo sub-districts have a higher overall risk than other areas.
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บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของวารสาร สักทอง : วารสารมนุษยศาสตร์และสังคมศาสตร์ สถาบันวิจัยและพัฒนา มหาวิทยาลับราชภัฏกำแพงเพชร
ข้อคิดเห็นใดๆ ที่ปรากฎในวารสารเป็นวรรณกรรมของผู้เขียนโดยเฉพาะ ซึ่งมหาวิทยาลัยราชภัฏกำแพงเพชรและบรรณาธิการไม่จำเป็นต้องเห็นด้วย
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