Land use inspection technique affects land surface temperature from satellite data
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Author |
Jumpol Itsarawisut, Teerawong Laosuwan, Somwung Srimoongkoon and Kongkiet Lucknuch
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e-ISSN |
1819-6608 |
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On Pages
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344-349
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Volume No. |
19
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Issue No. |
6
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Issue Date |
May 15, 2024
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DOI |
https://doi.org/10.59018/032451
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Keywords |
remote sensing, digital image processing, land surface temperature, sentinel-2, sentinel-3.
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Abstract
This research aims to present a land use inspection technique that affects land surface temperature from satellite
data by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2
Satellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface
temperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface
temperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite
found the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land
surface temperature in other areas of the country.
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