การประยุกต์การรับรู้จากระยะไกลเพื่อศึกษาอิทธิพลของพื้นที่สีเขียวต่อการเปลี่ยนแปลงอุณหภูมิพื้นผิว กรณีศึกษา เทศบาลนครนครสวรรค์
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Abstract
This study aims to apply remote sensing and geographic information system for estimating land surface temperature (LST) and fractional vegetation cover (FVC) from Landsat-8 satellite image in Nakhon Sawan municipality area. LST was obtained by brightness temperature then FVC was estimated based on normalization vegetation difference index (NDVI). Moreover, LST and FVC were analyzed to determine the correlation. These data were used to study the influence of green area which affects the temperature changes. Furthermore, linear regression was created to predict land surface temperature. The result shows that Nakhon Sawan municipality area had an average FVC and LST of 0.4323 or 43.23 percent and 27.25 degree Celsius, respectively. Moreover, land surface temperatures in urban area, which were covered by a lot of building, are higher than that of the forest or agricultural area. Furthermore, these temperatures are also higher than an average of LST. The result also showed r correlation at -0.8610 and (R2) 0.7413 at significance level 0.01 which had explained the influence of green areas. If green areas increase, an average of LST will be decrease in opposite direction. When LST is predicted LST by linear regression that show, if Nakhon Sawan municipality had not green areas, the average of LST would have 30.21 degree Celsius but if green areas of 60 percent, the average of LST would have 26.32 degree Celsius, which have RMSE of equation +-0.38 degree Celsius.
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References
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