การใช้ดัชนีพืชพรรณ (NDVI) ร่วมกับดัชนีความต่างความชื้นของพืช (NDMI)  เพื่อศึกษาผลกระทบที่เกิดขึ้นจากไฟป่าในพื้นที่ป่าไม้ ด้วยภาพถ่ายดาวเทียม Senitel-2  กรณีศึกษา ป่าสงวนแห่งชาติจังหวัดแพร่

Panitnart  Kanghan; Thanakorn  Lattirasuvan; Teeka  Yotapakdee; Ubonwan  Subhasaen; Sieneenard  Songsri; Piyapit Khonkaen

doi:10.14456/jare-mju.2026.31

Authors

Panitnart Kanghan Department of Forest Management, Maejo University Phrae Campus, Phrae
Thanakorn Lattirasuvan Department of Forest Management, Maejo University Phrae Campus, Phrae
Teeka Yotapakdee Department of Forest Management, Maejo University Phrae Campus, Phrae
Ubonwan Subhasaen Department of Political Science, Maejo University Phrae Campus, Phrae
Sieneenard Songsri Basic Science Group, Maejo University Phrae Campus, Phrae
Piyapit Khonkaen Department of Forest Management, Maejo University Phrae Campus, Phrae https://orcid.org/0009-0001-5929-2701

DOI:

https://doi.org/10.14456/jare-mju.2026.31

Keywords:

forest resources, conserved forest, protected forest, the impacts of forest fires

Abstract

The objectives of this study were: (1) to analyze changes in the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Moisture Index (NDMI) before and after forest fire events; and (2) to classify areas affected by forest fires using Sentinel-2 satellite imagery. The study was conducted in Phrae National Reserved Forest, Thailand, over a five-year period from 2019 to 2024. The results revealed that average NDVI values prior to forest fire occurrences ranged from approximately 0.50 to 0.52, whereas post-fire NDVI values declined to between 0.27 and 0.30. The difference in NDVI (dNDVI) ranged from 0.14 to 0.25, indicating a statistically significant decrease in vegetation greenness. Correspondingly, the mean NDMI values before the forest fires ranged from 0.17 to 0.51, while post-fire NDMI values declined to between 0.03 and -0.03, reflecting a substantial loss of vegetation moisture. This reduction is attributed to combustion processes and the evaporation of canopy water resulting from the forest fires. Analysis of NDMI change (dNDMI) further demonstrated variation between 0.18 and 0.48, highlighting severe vegetation moisture loss in areas directly impacted by fire. Accuracy assessment of the burned-area classification derived from Sentinel-2 imagery yielded an overall accuracy of 92.99% and a Kappa coefficient of 0.83, suggesting a high level of classification reliability.

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