Analysis of Urban Heat Islands Using Landsat 8 OLI / TIR Data: Case of the City of Guelma (Algeria)

Main Article Content

Boubaker Khallef
Yamina Biskri
Nabil Mouchara
Khaled Brahamia


This study aims to analyze the urban heat islands of the city of Guelma using Landsat 8 data and the geographic information system. The application of the single Chanel algorithm has been applied to extract surface temperature (LST) from Landsat 8 data. The result obtained shows that the surface temperature of August 11, 2019 in the city of Guelma varied from 36 to 47 degrees. However, the correlation between the LST, the NDVI and the NDBI allowed characterizing the effects of the green zones and the water resources thus the grounds built on the urban heat islands. The ecological assessment was performed using an urban thermal field variance index (UTFVI). The result obtained from this ecological assessment shows that 4 km2 of the surface of the city of Guelma represents a much worse ecological quality. It is therefore urgent for this city to strengthen and expand the strategies for reducing the effects of urban heat islands for preserve the quality of urban life of the inhabitants.

Urban heat island, Landsat 8, urbanization, Guelma, Algeria

Article Details

How to Cite
Khallef, B., Biskri, Y., Mouchara, N., & Brahamia, K. (2020). Analysis of Urban Heat Islands Using Landsat 8 OLI / TIR Data: Case of the City of Guelma (Algeria). Asian Journal of Environment & Ecology, 12(4), 42-51.
Original Research Article


Landsberg, Helmut E. Atmospheric changes in a growing community (the Columbia, Maryland experience). Urban Ecology. 1979;4(1979):53-81.

Streutker DR. A remote sensing study of the urban heat island of Houston. Texas. International Journal of Remote Sensing. 2002;23:2002 -Issue1.

Lu X, Chow KC, Yao T, Fung JCH, Lau A. Seasonal variation of the land sea breeze circulation in the Pearl River Delta region. J Geophys Res. 2009;114:D17112.
DOI:10.1029/ 2009JD011764 . Ilot de chaleur urbain; 2019.
/articles/ilots-de-chaleur-urbains.aspx http.

Tso CP. A survey of urban heat island studies in two tropical cities. Atmospheric Environment. 1996;30(3):507-519.

Liu L, Zhang Y. Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong. Remote Sens. 2011;3:1535-1552.
DOI: 10.3390/rs3071535

Huang MF, Xing X, Wang PJ, Wang C. Comparison between three different methods of retrieving surface temperature from Landsat TM thermal infrared band. Arid Land Geography. 2006;29:132-137.

Guha S, Govil H, Dey A, Gill N. Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy. European Journal of Remote Sensing. 2018;51(1):667-678.

Alfraihat R, Mulugeta G, Gala TS. Ecological Evaluation of Urban Heat Island in Chicago City, USA. Journal of Atmospheric Pollution. 2016;4(1):23-29.

Macarof P, Statescu F .Comparasion of NDBI and NDVI as indicators of surface urban heat island effect in Landsat 8 imagery: A case study of Iasi. PESD. 2017;11(2).

Bendib AH, Dridi H, Kalla MI. Contribution of Landsat 8 data for the estimation of land surface temperature in Batna city, Eastern Algeria. Geocarto International; 2016.

Guechi I, Alkama D. Apport de la télédétection pour la cartographie diachronique de l’étalement urbain et l’analyse morphologique de l’agglomération de Guelma. COURRIER DU SAVOIR (Septembre). 2017;24.

Hung YY, Ho HP. Shearography: An optical measurement technique and applications ». Materials Science and Engineering: R: Reports. 2005;49(3):61-87.

Khallef B, Brahamia K, Oularbi A. Application des indices de télédétection à la cartographie des zones urbaines et des sols nus : Cas de la ville de Guelma (Nord-est de l’Algérie). International Journal of Innovation and Applied Studies. 2020;28(2):452-457.

Artis DA, Carnahan WH. Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment. 1982;12:313– 329.

USGS. Using the USGS Landsat Level-1 Data Product; 2019.
Available :

Carlson TN, Ripley DA. On the Relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index. Remote sensing of Environment. 1997;62:241- 252.

Weng Q, Lu D. Schubring J. Estimation of land surface temperature vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment. 2004;89:467-483.

Zhang Y, Yu T, Gu X, Zhang Y, Chen L, Yu S, Zhang W, Li X. Land surface temperature retrieval from CBERS-02 IRMSS thermal infrared data and its applications in quantitative analysis of urban heat island effect. J. Remote Sens. 2006;10:789-797.