Multi-temporal relationship between surface temperature, land use and normalized vegetation index

A. Allam, A. Hamou, D. Mansour, M.F. Rahila, A. Dif


Abstract: Land surface temperature can reflect environmental interactions and exchanges between soil, land cover and atmosphere, which is important for studying environmental changes. Nevertheless, research on surface temperature in ecologically fragile saline areas is rare. Thus, in most previous research articles, the main study areas were large agglomerations and other areas characterized by natural phenomena such as erosion. In fact, the study of this parameter is difficult at the local scale because it is influenced by climatic variations and anthropogenic practices that determine land use. In summary, the Atmospheric Correction Model from Landsat data can easily extract surface temperature and explore its relationship with land use and NDVI. Indeed, the variation of the surface temperature is according to the type of land use. This study provides a reference for land use planning, restoration of the ecological environment in round of saline areas. The days of 03/31/1987, 03/26/2000 and 03/28/2015 were chosen mainly for the quality and availability of the images and that the vegetation is ripe at this time of the year.

Full Text:



Chander, G.; Brian, L M.; Dennis,L H. Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors. Remote Sensing of Environment 5 (2009) 893–903.

Deng, Y.; Shijie, W.; Xiaoyong, B. Relationship among Land Surface Temperature and LUCC, NDVI in Typical Karst Area. Scientific Reports 8(2018) 641.

Fung, T.; LeDrew, E. The Determination of Optimal Threshold Levels for Change Detection Using Various Accuracy IndicesFor change detection using various accuracy. PhotogrammEng Remote Sens, 54(1988) 1449-1454.

Ghobadi, Y,; Biswajeet, P.; Helmi, Z M S.; Keivan, K. Assessment of Spatial Relationship between Land Surface Temperature and Landuse/Cover Retrieval from Multi-Temporal Remote Sensing Data in South Karkheh Sub-Basin, Iran. Arabian Journal of Geosciences 8(2015) 525–537.

Hou, GL.; Zhang, HY.; Wang, YQ.; Qiao, ZH .; Zhang, ZX. Retrieval and Spatial Distribution of Land Surface Temperature in the Middle Part of Jilin Province Based on MODIS Data. ScientiaGeographicaSinica 30(2010 ) 421–42.

Julien, Y.; José, A S.; Wout, V. Changes in Land Surface Temperatures and NDVI Values over Europe between 1982 and 1999. Remote Sensing of Environment 103(2006) 43–55.

Legros, J P. Cartographies Des Sols : De l’analyse Spatiale à La Gestion Des Territoires, vol.10. PPUR presses polytechniques (1996).

Mishchenko, M I.; Larry, D T.; Andrew, A L. Scattering, Absorption, and Emission of Light by Small Particles. Cambridge University press (2002).

Price, J C. Using Spatial Context in Satellite Data to Infer Regional Scale Evapotranspiration. IEEE Transactions on Geoscience and Remote Sensing 28(1990) 940–948.

Qu, C.; JH, M.; YQ, X.; Fei, T. Spatial Distribution of Land Surface Temperature Retrieved from MODIS Data in Shiyang River Basin. Arid Land Geography 37(2014) 125–133.

Ruelland, D.; Sandra, A B.; Billen, G.; Servat, E. Sensitivity of a Lumped and Semi-Distributed Hydrological Model to Several Methods of Rainfall Interpolation on a Large Basin in West Africa. Journal of Hydrology 361(2008) 96–117.

Smith, RCG.;Bhaskar, J C. On the Correlation of Indices of Vegetation and Surface Temperature over South-Eastern Australia. International Journal of Remote Sensing 11(1990) 2113–2120.

Stroppiana, D.; Massimo, A.; Pietro, A B. Seasonality of MODIS LST over Southern Italy and Correlation with Land Cover, Topography and Solar Radiation. European Journal of Remote Sensing 47(2014) 133–152.

Yuan, X.; Wenfeng, W.; Junjie, C. Vegetation Changes and Land Surface Feedbacks Drive Shifts in Local Temperatures over Central Asia. Scientific Reports 7(2017) 3287.


  • There are currently no refbacks.