International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2576

Full Length Research Paper

The nexus between land surface temperature and vegetation condition: The case of Addis Ababa, Ethiopia

Dagnachew Sisay Chaka
  • Dagnachew Sisay Chaka
  • Department of Urban and Regional Planning, Faculty of Civil and Built Environment, Hawassa University, Hawassa, Ethiopia.
  • Google Scholar
Binyam Tesfaw Hailu
  • Binyam Tesfaw Hailu
  • Department of Remote Sensing and Geo-informatics, College of Natural and Computational sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Google Scholar


  •  Received: 26 January 2022
  •  Accepted: 04 July 2022
  •  Published: 30 June 2024

References

Abutaleb K, Adeline Ngie F, Ahmed MH, Ahmed SB, Elkafrawys SM, Arafat AD (2014). Investigation of urban heat island using Landsat data. In: Proceedings of the 10th Int. Cong, pp9, AARSE, University of Johannesburg, Wits University South Africa and National Authority for Remote Sensing and Space Sciences, Egypt.

 

Ahmed N (2016). Application of NDVI in vegetation monitoring using GIS and remote sensing in northern Ethiopian highlands. Abyss. Journal of Science and Technology 1(1):12-17.

 

Avdan U, Jovanovska G (2016). Algorithm for Automated Mapping of Land Surface Temperature Using Landsat 8 Satellite Data. Journal of Sensors. 2016:1-8. Article ID 1480307. 
Crossref

 

Belete T (2017). Impact of land-use/land-cover changes on land surface temperature in Adama Zuria Woreda, Ethiopia, using geospatial tools. Unpublished MSc thesis, Addis Ababa University, Addis Ababa, Ethiopia 91 p.

 

Burgan RE, Hartford RA (1993). Monitoring vegetation greenness with satellite data. Gen. Tech. Rep. INT-297. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station 13 p.
Crossref

 

Chaithanya V, Binoy B, Vinod T (2017). Estimation of the relationship between urban vegetation and land surface temperature of Calicut city and suburbs, Kerala India using GIS and remote sensing data. International Journal of Advanced Remote Sensing and GIS 6(1):2088-2096.
Crossref

 

Chaka DS, Oda TK (2021). Understanding land surface temperature on rift areas to examine the spatial variation of urban heat island: the case of Hawassa, southern Ethiopia. GeoJournal 86:993-1014. 
Crossref

 

Dewan A, Corner R (2012). The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium P 100. IGARSS, Munich, Germany.
Crossref

 

Jeevalakshmi DS, Narayana R, Manikiam B (2017). Land Surface Temperature Retrieval from Landsat data using Emissivity Estimation. International Journal of Applied Engineering Research. 12(20):9679-9687.

 

Markham BL, Barker JL (1985). Spectral characterization of the Landsat thematic Mapper sensors, International Journal of Remote Sensing. 6(5):697-716.
Crossref

 

Odindi JO, Bangamwabo V, Mutanga O (2015). Assessing the value of urban green spaces in Mitigating Multi-Seasonal urban heat using MODIS land surface temperature (LST) and Landsat 8 data. International Journal of Environmental Research 9:9-18.

 

Oke TR (1988). The urban energy balances. Progress in Physical Geography 12:471-508.
Crossref

 

Quintano C, Fernández-Manso A, Calvo L, Marcos E, Valbuena L (2015). Land surface temperature as potential indicator of burn severity in forest Mediterranean ecosystems. International Journal of Applied Earth Observation and Geoinformation 36:1-12.
Crossref

 

Rahman MM, Csaolovics E, Koch B, Kohl M (2006). Interpretation of Tropical Vegetation Using Landsat ETM+ Imagery, South-eastern Bangladesh.

 

Rehman Z, Kazmi SJH, Khanum F, Samoon ZA (2015). Analysis of land surface temperature and NDVI using geo-spatial technique: A case study of Keti Bunder, Sindh, Pakistan. Journal of Basic and Applied Sciences, 11:514-527.
Crossref

 

Rizwan AM., Dennis YC, Liu C (2008). A review on the generation, determination and mitigation of urban heat island. Journal of Environmental Science, 20:120-128.
Crossref

 

Sandor J, Istvan V, Huawei L, Guifang W, Krisztina Filep K (2019). Visualized relation of land use, ecological network and heat island: GIS based analysis and visualization in Hungarian pilot areas, pp 346

 

Sobrino JA, Raissouni N (2010). Toward Remote Sensing Methods for Land Cover Dynamic Monitoring: Application to Morocco, International Journal of Remote Sensing. 21(2):353-366.
Crossref

 

Sobrino JA, Jiménez-Muñoz K, Leonardo JCP (2004). Land surface temperature retrieval from LANDAT TM5. Remote Sensing of Environment. 90(4):434-440.
Crossref

 

Sruthi S, Aslam MM (2015). Agricultural drought analysis using the NDVI and land surface temperature data; a case study of raichur district. Aquat. Procedia 4:1258-1264.
Crossref

 

Sun Q, Wu Z, Tan J (2011). The relationship between land surface temperature and land use/land cover in Guangzhou, China. Environmental Earth Science 65:1687-1694.
Crossref

 

Suresh S, Mani K (2017). Application of remote sensing in understanding the relationship between NDVI and LST. International Journal of Renewable Energy Technology. 6(2):99-105.
Crossref

 

Tan KC, San Lim H, MatJafri MZ, Abdullah K (2010). Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environmental Earth Sciences 60(7):1509-1521.
Crossref

 

Wang F, Zhihao Qin, Caiying Song, Lili Tu, Arnon Karnieli and Shuhe Zhao (2015). An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data, Remote Sens 7:4268-4289.
Crossref

 

Weng QHD, Lu S, Schubring J (2004). Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment. 89(4):467-483.
Crossref

 

Worku N, Binyam TH, Aramde F (2019). An assessment of the vegetation cover change impact on rainfall and land surface temperature using remote sensing in a subtropical climate, Ethiopia. Remote Sensing Application: Society and Environment 16(2019):100266.
Crossref

 

Yosef M, Binyam T, Ameha A, Tesfaye K (2017). Detection of geothermal anomalies using Landsat 8 TIRS data in Tulu Moye geothermal prospect, Main Ethiopian Rift, The 4th National GIS Summit, 13-15 January 2017, The Geospatial Data and Technology Centre (GDTC) of Bahir Dar University Bahirdar, Ethiopia.

 

Yu X, Xulin G, Zhaocong Wu (2014). Land Surface Temperature Retrieval from Landsat 8 TIRS-Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method. Remote Sens 6:9829-9852.
Crossref