PJB-2022-557
Detection of land surface temperature and land use/land cover variation of Islamabad region from multi-temporal Remote Sensing Data
Iqra Riaz
Abstract
Land surface temperature (LST) is prime regulator of global climate change and an important aspect of determining net radiation, evapotranspiration, and heat balance studies. Rise of urbanization both in geographic extent as well as in population dynamics, have impacted the global and local climate change. Remote Sensing and GIS technique proves to be helpful in resolving spatial problems through Landsat image analysis. The present study applied the RS application to derive the LST of Islamabad region having varied land cover types. LSE was investigated through calculated normalized difference vegetation index (NDVI) as well as the Plank equation along with single window algorithm was brought under use to obtain the land surface temperature. Landsat 5 thematic mapper (TM) and Landsat 8 (TIR) were employed to assess the thermal characteristics of land for year 1992, 1998, 2010, 2013 and 2015 by investigating relation of LST with NDVI. Result analyzed the average temperature (Mean ±S.D) of Islamabad to be 35.25 ±2.47 in 1992, which decreased in year 1998, 27.81 ±1.83 and year 2010, 33.44 ±1.90 and increased by 35.37 ±1.07 in 2013 that limits to be at 32.02 ±1.70 in 2015. The strongest linear trend-line between LST and NDVI was found in the year 1992 (R2 = -0.639) and 2010 (R2 = -0.710).
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