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Abstract

This study aimed at evaluating the usability of Landsat for characterizing the spatial and temporal characteristics of vegetation abundance (represented by At-Sensor NDVI (ASNDVI) and Land Surface NDVI (LSNDVI)), Surface Temperature (represented by At-Sensor Brightness Temperature (ASBT) and Land Surface Temperature (LST)), which are important for surface urban heat islands studies, and investigating the types of the relationships between these variables throughout different seasons in different years using TM and OLI/TIRS scenes. The study area is Greater Amman Municipality in Jordan, which represents an urban area with unplanned growth resulted partly from waves of refugee movements reflecting wider political circumstances. Change analysis from 1987 to 2016 showed that, despite the huge strides in population growth, the majority of the municipality showed either no change or small increase in vegetation abundance in summer and winter and either no change or small increase in surface temperature in summer and either no change or small decrease in surface temperature in winter. Correlation analysis showed the presence of negative relationship in summer and positive relationship in winter between vegetation abundance and surface temperature and showed that the differences between ASNDVI and LSNDVI maps and between ASBT and LST maps are not significant.

Biography

Salahuddin M Jaber graduated from Southern Illinois University in Carbondale, Illinois, USA, with a PhD degree in Environmental Resources and Policy with a concentration in GIS, Remote Sensing, and Environmental Modelling. Since his graduation he joined the Department of Water Management and Environment at the Hashemite University in Jordan as an Assistant Professor. In 2015, he has been promoted to Associate Professor. During the last ten years (after PhD) he acquired multiple experiences as a Teacher, Researcher, Administrator, Trainer, Consultant and Supervisor for graduate students.