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Mapping and Identifying Urban Heat Island Hotspots in Thailand: A comparative study of Nakhon Si Thammarat, Trang, Saraburi, and Suphanburi ground measurements against satellite data

Organization(s):Srithammaratsuksa School
Country:Thailand
Student(s):Pacharadanai Petchpan, Kawinporn Yapan, Teeratham Thaosakul, Pitchayapa Puimon, Warachanok Sungkhachote, Wiranpat Chuenchit, Natnicha Srirod, Nitchakamol Wanpect, Kavita Pongsuwan, Jirachaya kerdbuathong, Punyawee Rojcharoenngam, Thanaphorn Chobthamkit, Nattapong Aroonsakul, Pasit Pusittanont, Ananyalak Janthong, Pattiya Lin, Krid Sakjay, Rawipa Lapmee, Thun Suwanaratsamee, Poonpoom lnkong
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Member(s):Patipon Thawornnuwong
Contributors:Teeradetch Onmake, Ladawan Suksai, Assoc. Prof. Dr. Krisanadej Jaorensutasinee, Assoc. Prof. Dr. Mullica Jaroensutasinee, Mr. Babey Dimla Tonny
Report Type(s):Virtual Science Symposium Report
Protocols:Surface Temperature
Presentation Video: View Video
Presentation Poster: View Document
Language(s):English
Date Submitted:2025-12-17
Mapping and Identifying Urban Heat Island Hotspots in Thailand: A comparative study of Nakhon Si Thammarat, Trang, Saraburi, and Suphanburi ground measurements against satellite data
This research delivers a thorough, multi-level examination of the Surface Urban Heat Island (SUHI) phenomenon in four varied Thai provinces: Saraburi (industrial), Trang (coastal), Suphan Buri (agricultural), and Nakhon Si Thammarat (urban). The primary data set includes on-site surface temperature readings (LST) from six land-cover categories: dry ground, pond/lake, trees, concrete, metal, and grass. A one-way Analysis of Variance (ANOVA) was applied to evaluate the average temperatures among these categories. The ANOVA outcomes for all seven evaluated conditions (Saraburi day, Saraburi night, Suphan Buri day, Suphan Buri night, Trang day, Nakhon Si Thammarat day, and Nakhon Si Thammarat night) revealed a highly significant statistical variation in surface averages (p ≈ 0). This definitely establishes that land cover serves as the main factor influencing surface temperature. Saraburi demonstrated the peak daytime temperature overall and the greatest Surface Thermal Contrast (STC) of 25.28°C. In contrast, Suphan Buri displayed the most substantial nighttime STC of 5.01°C, resulting from heat storage in concrete (27.14°C) relative to grass (22.13°C). On-site data were cross-verified with satellite-based Land Surface Temperature (LST), which indicated elevated overall LSTs in Saraburi (42.78°C day) and Suphan Buri (38.64°C day), solidifying their role as prominent SUHIs on a broader scale. This cohesive, data-supported methodology supplies vital insights for regional climate adaptation strategies in Thailand.



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