Detection of the Land Surface Temperature Changes in Ma'an Governorate using Remote Sensing Data during the Period (1990-2018)

Abstract

This paper investigates multi-temporal land surface temperature (LST) for large ungauged areas of Ma'an Governorate, Jordan, based on changes in normalized difference vegetation index (NDVI) using remotely sensed data. Five mosaic images were taken for both the 1990 and 2018 years by Landsat 5 (TM) and Landsat 8 (OLI) (path/row, 174/36-174/37). These were used as the basic data source, where most of Ma'an Governorate has no meteorological stations. The five-mosaic images for both Landsat 5 and Landsat 8-OLI were taken in September. LST and NDVI maps have been generated to determine the changes in LTS during the monitoring period. The results showed that the minimum value of LST increased by 4°C, and the mean surface temperature increased nearly by 2°C between 1990 and 2018. The average LST has been rising at a rate of 0.071◦C/y.