| dc.description.abstract | Urban areas as is known have a lot of air pollution impacts that can cause the
temperature quality to increase and be contaminated by air pollution or industrial areas
carried out by human activities that are increasing day by day. The purpose of this study is
to observe changes in surface temperature in the Binjai City area, to identify factors causing
changes in surface temperature in the Binjai City. Using Landsat 8 image bands, this study
uses three bands, namely band 4, band 5, and band 10. Band 10 is used to produce an
estimated image of the Land Surface Temperature (LST) land surface temperature, because
it uses a thermal infrared sensor. Bands 4 and 5 are used to calculate the Normalized
Difference Vegetation Index (NDVI) and Proportion of Vegetation (PV) to produce
emissivity. Processing of bands 4 and 5. The temperature in class 0 is red because of the
presence of large roads, markets, densely populated areas, and industrial areas. For the Binjai
City area, the NDVI class of 0.2–0.3 contributed 20.18 percent of its area, the NDVI class of
0.3–0.4 contributed 32.17 percent, and the NDVI class of 0.4–0.5 contributed 30.14 percent.
Binjai City in 2018 also had an NDVI value range of 0.30–0.45 with a total area of 9384.9
Ha, from the total area of Binjai City. This value is also the value with the smallest area
compared to other values. The value of 0.30–0.45 is the highest NDVI value, also indicating
the higher presence of vegetation in that place. LST or surface temperature in Binjai City is
dominated by temperature classes 29–32 with an area of 51,552.4 Ha, while the lowest is in
class 20–23 covering an area of 11,101 Ha. According to the 2023 LST estimate for Binjai
City, there is an annual change between Land Surface Temperature (LST) in 2018 and 2023 | en_US |
