แนวทางการประยุกต์ใช้กูเกิลเอิร์ธเอนจินเพื่อการเฝ้าติดตามและประเมินผลความเสียหายจากภัยธรรมชาติ

Abstract

The monitoring and damage assessment of natural disaster provide valuable and useful information for natural disaster management, communication, and mitigation at the time of disaster events. This study presented the guideline of the application of Google Earth Engine (GEE) for monitoring and damage assessment of natural disaster by analyzing satellite imagery of Sentinel-1 Synthetic Aperture Radar (SAR). The present study focused on the analysis and assessment of flood risk (October 2020) in Amphoe Pak Thong Chai and Amphoe Muang, Nakhonratchasima province and forest fire (February 2020) in the areas of mountain in Amphoe Muang, Nakhonnaiyok province. The results of the study indicated that due to flood risk in October 2020 in Amphoe Pak Thong Chai, Nakhonratchasima province, it was expected the flooded area of 65 sq.km., exposed people of 25,505 people, affected cropland of 709 sq.km., and affected urban of 1,420 sq.km. For the area of burn severity due to forest fire in February 2020 in the areas of mountain in Amphoe Muang, Nakhonnaiyok province, it was expected the area in the level of high severity of ~0.2 sq.km. (0.36% of the study area), the level of moderate severity of ~11 sq.km. (20.44% of the study area), the level of low severity of ~16 sq.km. (29.42% of the study area), the area in the level of high enhanced regrowth of ~0.08 sq.km. (0.14% of the study area), and the unburned area of ~25 sq.km. (45.25% of the study area).