Abstract
The study intaimsto evaluate the impact of landscape (Land use land cover) changeson Land surface temperature (LST) by using GIS and Remote sensing (RS) techniques in Lahoreduring 2017–2021.Supervised Maximum Likelihood classification method was used to classify theland use and land cover classes. For retrieval of Land surface temperature, the Landsat 8 (Band 10)product level 2 was used. Barren land and built- up area were identified as the most leading LULCclasses respectively in the study area at the cost of vegetation cover and water bodies. The barren landclass increased from 55.9% to 63.81% ,while the Built-up class also increases from 13.5% to 18.46%during 2017-2021.Whereas , vegetation and water bodies both are exhibiting the decline. The declinein vegetation class was reported from 29.58% to 17.6% over the time 2017 to 2021.Overall, 0.3 %decrease is observed in water bodies. In 2017 the 3◦C decline is observed in land surface temperature(LST) value than 2021.Built-up and Vegetation classes can contribute a significant role in variation ofLST in comparison to the water bodies. These results will be very helpful to understand the LULCchanges and eventually it will assist the land management authorities, policy maker and town plannersas well.
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