Title: Evaluate the effect of land surface temperature in arid and semi-arid lands using potential remote sensing data and GIS techniques
Authors: Majed Ibrahim; Barbara Koch; Pawan Datta
Addresses: Department of Geographic Information System and Remote Sensing, Earth and Environmental Sciences Institute, Al al-Bayt University, Jordan ' Chair of Remote Sensing and Landscape Information Systems, Faculty of Environment and Natural Resources, Freiburg University, Germany ' Chair of Remote Sensing and Landscape Information Systems, Faculty of Environment and Natural Resources, Freiburg University, Germany
Abstract: Land surface temperature (LST) plays a significant role with respect to drought, vegetation and climate change. The main objective of this paper is to evaluate the effect of LST in some parameters and to carry out mapping using remote sensing data and geographic information system (GIS) techniques. Satellite imagery in Landsat series and meteorological data were utilised to achieve the aims of study. Normalised difference vegetation index (NDVI), soil moisture index (SMI), normalised difference water index (NDWI) and dry bare soil index (DBSI) were utilised to evaluate the effect of LST. The results shows that the relation between the indices and the LST was statistically significant (R2 = 0.2 and 0.3 p < 0.05, respectively). Both maximum and minimum temperatures affect vegetation cover and lead to bareness. The final outcomes shows that the remote sensing data proved to be a powerful tool for monitoring spatial and temporal changes in LST.
Keywords: land surface temperature; LST; normalised difference vegetation index; NDVI; dry bare soil index; DBSI; normalised difference water index; NDWI; vegetation; geographic information system; GIS; remote sensing; moderate resolution imaging spectroradiometer; MODIS.
International Journal of Global Warming, 2021 Vol.24 No.3/4, pp.342 - 355
Received: 10 Oct 2019
Accepted: 09 Jun 2020
Published online: 29 Jul 2021 *