Relationship between Land Surface Temperature and Land Use in Nakhon Ratchasima City, Thailand

Abstract

The relationship between land surface temperature (LST) and land use in Nakhon Ratchasima was studied using data gathered from three satellite images from Landsat-5 (30th January 1992), Landsat-8 (9 May 2016) and THEOS (17th February 2016). There were four categories of land use: built-up area, green area, bare land and water sources. The split-window concept was used to estimate the LST. In 1992, Nakhon Ratchasima city in Thailand comprised 47.76% built-up area, 37.45% green area, 13.19% bare land and 1.60% water sources. By 2016, the built-up area had increased by 23.04%, the green area had decreased by 16.66%, bare land had decreased by 6.81%, but water sources had increased by 0.43%. Moreover, in 1992 the mean LST was 25.43 C for built-up areas, 24.44 C for green areas, 24.97 C for bare land and 24.75 C for water sources. However, by 2016 the LSTs had increased for each category: 28.74 C for built-up areas (+3.31 C), 27.20 C for green areas (+2.76 C), 28.11 C for bare land (+3.14 C) and 27.72 C for water sources (+2.97 C). The findings indicated that the LSTs increased with the pace of urbanization and changes in land use. Linear regression analysis revealed that built-up land had a positive correlation with LST, where a 1% increase in built-up area increased its LST by 0.146594 C.

Model of Relationships between Land Surface Temperature and Urban Built-Up Areas in Mueang Buriram District, Thailand

“…Moreover, this study had forecasted land surface temperature values in the future and found that when the urban built-up areas were increased up to 100% of the total area of Mueang Buriram district, the average land surface temperature area of the area was approximately 35.11ºC and the temperature rose approximately 5.41ºC. In addition, the study results found that the relationship between the percentage of urban built-up areas and the average land surface temperature was positive in the same direction as the research of [28] with the title of "The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data", [29] with the title of "The relationship between land surface temperature and land use/land cover in Guangzhou, China" and [30] with the title of "Relationship between Land Surface Temperature and Land Use in Nakhon Ratchasima City, Thailand". The results of this study can explain how urban built-up areas tend to expand continually and influence the increase of the average land surface temperature.…”

Spatial-Multitemporal Analysis of Heatwaves in Thailand: Discrepancies between In-Situ Air Temperature and Remote Sensing-Derived Land Surface Temperature

“…In Bangkok city, different land use categories derived from Landsat satellite and MODIS images reveal that high-density residential and commercial areas at the core exhibit mean UHI intensities ranging between 4 • C and 6 • C over the period of 2003-2016 [68,69] and up to 6.20 • C in 2020 [70]. Linear regression analysis indicates that built-up land has a positive correlation with LST, with a 1% increase in built-up area resulting in a 0.15 • C increase in LST in Bangkok city [71]. [72] describe the spatial pattern of LST in Bangkok, identifying high-LST hot spots (>40 • C) in downtown, northern, and eastern parts.…”