Land-Cover Classification and its Impact on Peshawar’s Land Surface Temperature Using Remote Sensing

Spatial and temporal information on urban infrastructure is essential requires various land-cover/land-use planning management applications. Besides, a change in has direct impact other land-cover climatic conditions. This study assessed changes the rate spatial distribution of Peshawar district’s its effects Land Surface Temperature (LST) during years 1996 2019. For this purpose, firstly, satellite images bands7 8 ETM+(Enhanced Thematic Mapper) plus OLI (Operational Imager) 30 m resolution were taken. Secondly, for classification image processing, remote sensing (RS) applications ENVI (Environment Visualising Images) GIS (Geographic Information System) used. Thirdly, better visualization more in-depth analysis land sat images, pre-processing techniques employed. use cover (LU/LC) four types areas identified – vegetation area, water cover, urbanized infertile under research. The composition red, green, near infra-red bands was used supervised classification. Classified extracted analyzing relative change. A comparative performed SVM (Support Vector Machine) ANN (Artificial Neural Network). Based these result shows rise average temperature from 30.04°C to 45.25°C. only possible reason increase built-up area 78.73 332.78 Area km2 It also been witnessed that city’s sides are hotter than center due barren borders.