Monitoring Hotspots Using Thermal Sensors on MODIS Aqua/Terra Satellite System: A Case Study of National Park Areas in Northern Thailand  

作　　者：Settapong Malisuwan Soemsak Yooyen Ammarin Pimnoo Cattleya Delmaire Settapong Malisuwan;Soemsak Yooyen;Ammarin Pimnoo;Cattleya Delmaire(The Excellence Center of Space Technology and Research (ECSTAR), International Academy of Aviation Industry (IAAI), King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand;Thaicom Public Company Ltd., Bangkok, Thailand;Environmental Protection and Sustainable Development Working Group, International Academy of Aviation Industry (IAAI), King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand)

机构地区：[1]The Excellence Center of Space Technology and Research (ECSTAR), International Academy of Aviation Industry (IAAI), King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand [2]Thaicom Public Company Ltd., Bangkok, Thailand [3]Environmental Protection and Sustainable Development Working Group, International Academy of Aviation Industry (IAAI), King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand

出　　处：《Advances in Remote Sensing》2023年第2期47-69,共23页遥感技术进展（英文）

摘　　要：This research presents the remote sensing data on hotspots in four national parks located in Chiang Mai province, Thailand: Sri Lanna National Park, Huai Nam Dang National Park, Doi Pahom Pok National Park, and Doi Inthanon National Park. To mitigate the devastating impacts of these wildfires, effective monitoring and management strategies are necessary. Remote sensing technology provides a promising approach for mapping burnt areas and understanding fire regimes at a regional scale. The primary focus of this research is to employ the MODIS Aqua/Terra satellite system for obtaining historical remote sensing data on hotspots. The advantages of remote sensing include accurate identification and mapping of burnt areas, regular monitoring, rapid data acquisition, and historical data analysis. The MODIS sensor, specifically designed for fire monitoring, offers enhanced fire detection and diagnosis, multiple channels for qualitative and quantitative analysis, and precision positioning capabilities. The research results presented in the analysis contribute to the understanding of fire incidents and hotspot occurrences within the four national parks studied. This paper suggests the optimization of early detection of forest and land fires through the utilization of Artificial Intelligence (AI), presenting it as a recommendation for future endeavors. The research emphasizes the significance of implementing efficient policies and management strategies to effectively tackle the challenges associated with fires in these ecologically significant areas.This research presents the remote sensing data on hotspots in four national parks located in Chiang Mai province, Thailand: Sri Lanna National Park, Huai Nam Dang National Park, Doi Pahom Pok National Park, and Doi Inthanon National Park. To mitigate the devastating impacts of these wildfires, effective monitoring and management strategies are necessary. Remote sensing technology provides a promising approach for mapping burnt areas and understanding fire regimes at a regional scale. The primary focus of this research is to employ the MODIS Aqua/Terra satellite system for obtaining historical remote sensing data on hotspots. The advantages of remote sensing include accurate identification and mapping of burnt areas, regular monitoring, rapid data acquisition, and historical data analysis. The MODIS sensor, specifically designed for fire monitoring, offers enhanced fire detection and diagnosis, multiple channels for qualitative and quantitative analysis, and precision positioning capabilities. The research results presented in the analysis contribute to the understanding of fire incidents and hotspot occurrences within the four national parks studied. This paper suggests the optimization of early detection of forest and land fires through the utilization of Artificial Intelligence (AI), presenting it as a recommendation for future endeavors. The research emphasizes the significance of implementing efficient policies and management strategies to effectively tackle the challenges associated with fires in these ecologically significant areas.

关 键 词：Forest Monitoring HOTSPOT Remote sensing MODIS SATELLITE Northern Thailand 

分 类 号：F42[经济管理—产业经济]