Investigating Land Surface Temperature (LST) Change Using the LST Change Detection Technique (Gomishan District, Iran)

  • Maliheh ArekhiEmail author
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


Monitoring variations in the spectral reflectance of thermal bands of Landsat data provide land surface temperature information of earth’s surface features. This research tried to examine the variations of Land surface temperature (LST) from 1987 to 2017 at the Gomishan district and its soundings in Iran. Images preprocessing was conducted including the geo-shifting and atmospheric correction. NDVI and LST maps and their change map using a change detection technique were generated. Basic inferential statistics and spatial analysis were performed. The results show that LST mean reached approximately 42.5 °C with 9 °C increase, while it was 33.8 °C in 1987. However, comparing the statistical analysis of NDVI data did not show any differences between the two study dates. Land cover classes include water, urban, and rural covered areas had the lowest LST shifts between the two study periods. The LST of rangelands, wetlands, and bare lands with more than 10 °C increase have experienced considerable LST shifts between during the study periods. Interestingly, some parts of wetland areas had the highest increase approximately 13 °C from 1987 to 2017. This study emphasized that LST change detection approach and spatial analysis can be used successfully in LST monitoring investigations. The results can be used to identify regions that experienced LST shifts (change or no change) and also to identify the most critical and impacted areas. The obtained results can be used effectively in sustainable natural disaster management plans.


LST Landsat NDVI Rangelands 


  1. 1.
    El-Zeiny, A.M., Effat, H.A.: Environmental monitoring of spatiotemporal change in land use/land cover and its impact on land surface temperature in El-Fayoum governorate Egypt. Remote Sens. Appl.: Soc. Environ. 8, 266–277 (2017)Google Scholar
  2. 2.
    Zhou, X., Wang, Y.: Dynamics of land surface temperature in response to land-use/cover change. Geogr. Res. 49(1), 23–36 (2011)Google Scholar
  3. 3.
    Arekhi, M., Yesil, A., Ozkan, U.Y., Sanli, F.B.: Detecting treeline dynamics in response to climate warming using forest stand maps and Landsat data in a temperate forest. For. Ecosyst. 5(1), (2018)Google Scholar
  4. 4.
    Wang, S., Ma, Q., Ding, H., Liang, H.: Detection of urban expansion and land surface temperature change using multi-temporal landsat images. Resour. Conserv. Recycl. 128, 526–534 (2018)CrossRefGoogle Scholar
  5. 5.
    Xue, J., Su, B.: Significant remote sensing vegetation indices: a review of developments and applications. J. Sens. (2017)Google Scholar
  6. 6.
    Arekhi, M., Yılmaz, O.Y., Yılmaz, H. and Akyüz, Y.F.: Can tree species diversity be assessed with Landsat data in a temperate forest?. Environ. Monit. Assess. 189(11), (2017)Google Scholar
  7. 7.
    Shuman, C.A., Comiso, J.C.: In situ and satellite surface temperature records in Antarctica. Ann. Glaciol. 34, 113–120 (2002)CrossRefGoogle Scholar
  8. 8.
    Brabyn, L., et al.: Accuracy assessment of land surface temperature retrievals from Landsat 7 ETM+ in the dry valleys of Antarctica using iButton temperature loggers and weather station data. Environ. Monit. Assess. 186, 2619–2628 (2014)CrossRefGoogle Scholar
  9. 9.
    Fathizad, H., Tazeh, M., Kalantari, S., Shojaei, S.: The investigation of spatiotemporal variations of land surface temperature based on land use changes using NDVI in southwest of Iran. J. Afr. Earth Sc. 134, 249–256 (2017)CrossRefGoogle Scholar
  10. 10.
    Weng, Q., Lu, D., Schubring, J.: Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sens. Environ. 89, 467–483 (2004)CrossRefGoogle Scholar
  11. 11.
    RDevelopment Core Team, R. and Others R: A Language and Environment for Statistical Computing (2008)Google Scholar
  12. 12.
    Team, Q.D. and Others: Quantum GIS Geographic Information System. Open Source Geospatial Foundation Project (2014)Google Scholar
  13. 13.
    Zhang, F., et al.: Dynamics of land surface temperature (LST) in response to land use and land cover (LULC) changes in the Weigan and Kuqa river oasis, Xinjiang China. Arab. J. Geosci. 9, 499 (2016)CrossRefGoogle Scholar
  14. 14.
    Pal, S., Ziaul, S.: Detection of land use and land cover change and land surface temperature in English Bazar urban centre. Egypt. J. Remote Sens. Space Sci. 20, 125–145 (2017)Google Scholar
  15. 15.
    Adeyeri, O., Akinsanola, A., Ishola, K.: Investigating surface urban heat island characteristics over Abuja, Nigeria: relationship between land surface temperature and multiple vegetation indices. Remote Sens. Appl.: Soc. Environ. 7, 57–68 (2017)Google Scholar
  16. 16.
    Zhao, Z.-Q., He, B.-J., Li, L.-G., Wang, H.-B., Darko, A.: Profile and concentric zonal analysis of relationships between land use/land cover and land surface temperature: case study of Shenyang China. Energy Buildings 155, 282–295 (2017)CrossRefGoogle Scholar
  17. 17.
    Hereher, M.E.: Effect of land use/cover change on land surface temperatures-The Nile Delta Egypt. J. Afr. Earth Sci. 126, 75–83 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Forest EngineeringInstitute of Science, Graduate Education Institute, Istanbul University-CerrahpaşaIstanbulTurkey

Personalised recommendations