Land Surface Temperature Estimation Using Remote Sensing Data

India is facing crucial problem as the other world, by the impact of Global warming which is resulting from climate change. Global warming is an increase in Earth’s average surface temperature, land surface temperature (LST) plays a critical role in Global climate change and is used in a range of hydrological, meteorological, and climatological applications. As needed for most modelling and climate analysis applications. Remote sensing (RS) and geographic information system (GIS) have found wide application areas in climate change analyses also this can be used for LST calculation. There are various sensor whose data is useful in generating LST such as: advanced very high resolution radiometer (AVHRR), moderate resolution imaging spectroradiometer (MODIS), Landsat-8, and many more. LST can be estimated by using many algorithms i.e. split-window (SW), dual-angle (DA), single-channel (SC). In this paper we have used SW algorithm to estimate LST for Bhopal region using LANDSAT-8 Thermal Infrared bands. SW algorithm uses spectral radiance and emissivity of TIR bands as input for deriving LST. The spectral radiance was estimated using TIR bands and emissivity was calculated using NDVI threshold technique. Finally Land surface temperature for Bhopal region have been estimated and statistics are presented.