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@article{Bungsu_Arif_2023, title={IDENTIFICATION OF LAND COVER OF SURFACE TEMPERATURE IN KOTA PARIAMAN USING LANDSAT IMAGERY 8-OLI}, volume={2}, url={https://irsaj.ppj.unp.ac.id/index.php/IRSAJ/article/view/19}, DOI={10.24036/irsaj.v2i1.19}, abstractNote={<p style="text-align: justify; margin: 6.75pt 3.5pt 0cm 0cm;"><span style="font-size: 10.0pt; color: black;">Remote sensing is a technology that can overcome data measurement problems for fast and accurate information. This research was carried out in Pariaman City using Landsat 8-OLI imagery with the aim of 1) knowing the identification of land cover based on the classification SNI:7645 (2014) based on Landsat 8-OLI imagery in the Pariaman City area in 2020 2) knowing the identification of surface temperature in the Pariaman City area in 2020.</span><span style="font-size: 10.0pt;"> <span style="color: black;">The research was conducted in serval stages, namely pre-processing of image data, selecting band combinations, cutting area studies, image classification, and testing accuracy. At surface temperature using Landsat 8-OLI imagery in 2020, surface temperature values ​​are obtained from the results of thermal band processing.</span> <span style="color: black;">The results of the classification of Landsat 8-OLI images in Pariaman City produce 5 land cover classes, namely water bodies, rice fields, settlements, mixed gardens, and shrubs. This research conducted a classification accuracy test using a confusion matrix accuracy test table. Land cover supervised maximum likelihood method the overall accuracy value is 86.66 %. The results of the surface temperature value in Pariaman City in 2020 obtained the highest temperature value of 30ºC and the lowest surface temperature of 23ºC.</span></span></p>}, number={1}, journal={International Remote Sensing Applied Journal}, author={Bungsu, Dedek Putri and Arif, Dian Adhetya}, year={2023}, month={Feb.}, pages={1–7} }