Vol. 2 No. 1 (2024): Emirati Journal of Space and Astronomy Sciences
Articles

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

PDF
  • Omar Odat,
  • Osama Al-Qawasmeh

Published 2024-05-28

Keywords

  • LST,
  • NDVI,
  • NDMI,
  • RS,
  • GIS

How to Cite

Odat, O. ., & Al-Qawasmeh, O. . (2024). Estimate Land Surface Temperature in Relation to Land Use Types Using spectral remote sensing data in Koura district. Emirati Journal of Space and Astronomy Sciences, 2(1), 42-56. https://doi.org/10.54878/pd4w5628

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.

PDF

References

  1. Li, Z. L., Tang, B. H., Wu, H., Ren, H., Yan, G., Wan, Z., Trigo, I. F., & Sobrino, J. A. (2013). Satellite-derived land surface temperature: Current status and perspectives. Remote Sensing of Environment, 131, 14–37. https://doi.org/10.1016/j.rse.2012.12.008
  2. Allen, R. G., Tasumi, M., Morse, A., Trezza, R., Wright, J. L., Bastiaanssen, W., Kramber, W., Lorite, I., & Robison, C. W. (2007). Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Applications. Journal of Irrigation and Drainage Engineering, 133(4), 395–406. https://doi.org/10.1061/(asce)0733-9437(2007)133:4(395)
  3. Hunt, J. C. R., Aktas, Y. D., Mahalov, A., Moustaoui, M., Salamanca, F., & Georgescu, M. (2017). Climate change and growing megacities: Hazards and vulnerability. Proceedings of the Institution of Civil Engineers: Engineering Sustainability, 171(6), 314–326. https://doi.org/10.1680/jensu.16.00068.
  4. Tariq, A., Riaz, I., Ahmad, Z., Yang, B., Amin, M., & Kausar, R. (2020). Land surface temperature relation with normalized satellite indices for the estimation of spatio temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data. Environmental Earth Sciences, 1–15. https://doi.org/10.1007/s12665-019-8766-2
  5. Srivanit, M., Hokao, K., & Phonekeo, V. (2012). Assessing the Impact of Urbanization on Urban Thermal Environment: A Case Study of Bangkok Metropolitan. International Journal of Applied Science and Technology, 2(7), 243–256. http://www.ijastnet.com/journals/Vol_2_No_7_August_2012/26.pdf
  6. Pandey, A., Mondal, A., Guha, S., Upadhyay, P. K., & Singh, D. (2022). Land use status and its impact on land surface temperature in Imphal city, India. Geology, Ecology, and Landscapes, 00(00), 1–15. https://doi.org/10.1080/24749508.2022.2131962
  7. Zia Ur Rehman, Syed Jamil H. Kazmi, Farheen Khanum, & Zuber Ali Samoon. (2015). Analysis of Land Surface Temperature and NDVI Using Geo-Spatial Technique: A Case Study of Keti Bunder, Sindh, Pakistan. Journal of Basic & Applied Sciences, 11(0), 514–527. https://doi.org/10.6000/1927-5129.2015.11.69
  8. Doomi, M. B., Aldayaflah, O., & Hazaymeh, K. (2016). The effects of land cover changes on land surface temperature in Amman; an urban climate change study. Dirasat: Human and Social Sciences, 43(2), 967–977. https://doi.org/10.12816/002843
  9. Jaber, S. M. (2018). Landsat-based vegetation abundance and surface temperature for surface urban heat island studies: the tale of Greater Amman Municipality. Annals of GIS, 24(3), 195–208. https://doi.org/10.1080/19475683.2018.1471519
  10. Ibrahim, M., & Abu-Mallouh, H. (2018). Estimate Land Surface Temperature in Relation to Land Use Types and Geological Formations Using Spectral Remote Sensing Data in Northeast Jordan. Open Journal of Geology, 08(02), 174–185. https://doi.org/10.4236/ojg.2018.82011.
  11. Coll, C., Caselles, V., Galve, J. M., Valor, E., Niclòs, R., & Sánchez, J. M. (2006). Evaluation of split-window and dual-angle correction methods for land surface temperature retrieval from Envisat/Advanced Along Track Scanning Radiometer (AATSR) data. Journal of Geophysical Research Atmospheres, 111(12), 1–12. https://doi.org/10.1029/2005JD006830