Estimate Land Surface Temperature in Relation to Land Use Types Using spectral remote sensing data in Koura district

Abstract

Land surface temperature (LST) plays a vital role in global climate change, heat balance, and land use change. Therefore, it is essential to accurately monitor LST over large areas. With the advances in the field of remote sensing, in this study the LST estimation was based on single-channel (SC) algorithm. The study aims to identify the impact of land uses on the LST Koura district in Jordan using geographic information systems (GIS) and remote sensing (RS) during the period (2013–2022), where the supervised classification process was performed and the calculation of algorithms prepared for that, which depends on the analysis of Landsat 8 satellite images. Among the most prominent results of the study is the presence of a large expansion of urban lands at the expense of agricultural and dry lands, with a development rate of 89.4%. As for forests, they witnessed a development compared to what they were in previous years of 31.89%, despite the decline in the area of vegetation cover. The average surface temperature increased during all study periods to reach more than 28 °C in vegetation and dry vegetation. The study revealed a negative relationship between the variation in the vegetation cover index and LST during the study period, while the urban variation index had a positive relationship with temperature. The study recommended the need to take appropriate measures to limit urban expansion at the expense of agricultural lands and work on reclaiming dry lands