Analysis of Correlation between the Land Surface Temperature, the Land-use and Land-Cover in Mueang District, Lampang Province

Main Article Content

Warin Wongwan
Subpong Pongsawat

Abstract

The purpose of this research was to estimate the land surface temperature and analyze the relation between the land surface temperature and land use and land cover of Mueang District, Lampang Province.  By using data from Landsat 8 satellite from March, 2014 to 2020. There are 11 bands consisting of OLI and TIRS system which were processed through geometric correction. Data of OLI system band 4-5 were calculated into normalized difference vegetation index (NDVI) and data of TIRS system band 10-11 were calculated into land surface temperature. Data of OLI system band 753/RGB were then categorized in supervised classification into 5 types of land use and land cover; 1) green area 2) burned area 3) urban area 4) wetland/water 5) bare soil, and analysis of relationship between land surface temperature and proportion of land use and land cover by Pearson Product Moment Correlation method. The results found that the land surface temperature was negative correlated with green area and wetland/water with correlation (r) values -0.798 and -0.211. The land surface temperature was related in the same direction with bare soil, urban area and burned area with correlation values 0.500, 0.340 and 0.080.

Article Details

How to Cite
Wongwan, W. ., & Pongsawat, S. . (2023). Analysis of Correlation between the Land Surface Temperature, the Land-use and Land-Cover in Mueang District, Lampang Province . Journal of Advanced Development in Engineering and Science, 13(36), 38–53. Retrieved from https://ph03.tci-thaijo.org/index.php/pitjournal/article/view/578
Section
Research Article

References

Climatological Center, Thai Meteorological Department. (2019). Lampang Province Climate. Available from http://climate.tmd.go.th/data/province/เหนือ/ภูมิอากาศลำปาง.pdf. Accessed date: 20 July 2020.

Department of Mineral Resources. (2016). Geological and Mineral Resources of Lampang Province. Available from http://www.dmr.go.th/download/digest/ลำปาง.pdf. Accessed date: 15 December 2019.

Ruthirako, P. (2016). Application of Geo-information Technology to Study Urban Heat Island Phenomenon. SDU Research Journal of Sciences and Technology, 9(3), 147-163.

Suksabai, K. & Kakhapakorn, K. (2014). Fire Detection Using LANDSAT Thermal Data: In SaiYok District, Kanchanaburi Province, Thailand. Thai Science and Technology Journal, 22(4), 462-473.

Charoentrakulpeeti, W. & Mahawan, N. (2014). Temporal and Spatial Dimensions of Urban Heat Island in Chiang Mai. Journal of the Faculty of Architecture King Mongkut's Institute of Technology Ladkrabang, 19(2), 162-172.

Piyatadsananon, P. & Salakkham, E. (2018). Land surface temperature estimation for Buriram town municipality Thailand. Journal of Science and Agricultural Technology, 3(1), 1-7.

Aslan, N. & Koc-San, D. (2016). Analysis of Relationship between Urban Heat Island Effect and Land Use/Cover type using Landsat 7 ETM+ and Landsat 8 OLI Images. ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8, 821-828.

Zaeemdar, S. & Baycan, T. (2017). Analysis of the Relationship between Urban Heat Island and Land Cover in Istanbul through Landsat 8 OLI. Journal of Earth Science & Climatic Change, 8(11), 309-325.

Arifin, S. S., et al. (2022). Effects of Vegetation on Urban Heat Island Using Landsat 8 OLI/TIRS Imagery in Tropical Urban Climate. Civil Engineering and Architecture, 10(1), 395-405.

Kimuku, W. C. & Ngigi, M. (2017). Study of Urban Heat Island Trends to Aid in Urban Planning in Nakuru County-Kenya. Journal of Geographic Information System, 9(3), 309-325.

Bonafoni, S. & Keeratikasikorn, C. (2018). Land Surface Temperature and Urban Density: Multiyear Modeling and Relationship Analysis Using MODIS and Landsat Data. Remote Sensing, 10(9), 1471.

Espinoza-Molina, J., et al. (2022). Spatiotemporal Analysis of Urban Heat Islands in Relation to Urban Development, in the Vicinity of the Atacama Desert. Climate, 10(6), 87.

Xu, X., et al. (2023). Long-term analysis of the urban heat island effect using multisource Landsat images considering inter-class differences in land surface temperature products. Science of The Total Environment, 858(1), 159777.

Thailand Science Research and Innovation. (2020). Situation and overview of research for development and problems solving in Lampang Provice (Research reports). Bangkok: Ministry of Higher Education, Science, Research and Innovation.

Research Systems. (2004). ENVI User’s Guide. Available from http://aviris.gl.fcen.uba.ar

/Curso_SR/biblio_sr/ENVI_userguid.pdf. Accessed date: 25 March 2023.

Phengphit, N., et al. (2017). The Study of Correlation Between Land Surface Temperature with Urban and Building Area, A Case Study of Amphoe Mueang Rayong, Rayong Province, Thailand. Journal of Geoinformation Technology of Burapha University, 2(3), 27-40.

Weng, Q., et al. (2004). Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89(4), 467-483.

Ruthamnong, S. (2019). Burned area extraction using multitemporal difference of spectral indices from Landsat 8 data: A case study of Khlong Wang Chao, Klong Lan and Mae Wong National Park. The Golden Teak: Humanity and Social Science Journal, 25(2), 49-65.

Geo-Informatics and Space Technology Development Agency. (2015). Application of LANDSAT for monitoring surface temperature. Available from https://www.gistda.or.th /news_view.php?n_id=2453&lang=TH. Accessed date: 14 January 2020.

Peebkhunthod, U., et al. (2018). Application of Landsat Data for Detecting Land Surface Temperature in Mueang Maha Sarakham District, Maha Sarakham Province. Journal of Science and Technology Mahasarakham University, 37(1), 130-135.

Dechaphongthana, W. et al. (2017). Estimation of Land Surface Temperature of Land Using Satellite Data. Thai Science and Technology Journal, 25(3), 377-387.

Kophim, W. (2017). Impacts of Land Use and Land Cover Toward Surface Urban Heat Island in Bangkok Metropolitan, (Master thesis, Mahanakorn University of Technology).

Preepremmote, K. et al. (2017). Study of index of Relationship between Land Use Chang and Urban Heat Island of Mice City Pattaya. Journal of Humanities and Social Sciences, Rajapruk University, 5(2), 93-109.