Log in

Urban heat island dynamics in response to land use land cover change: a case of Jimma city, southwestern Ethiopia

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

The paper attempts to investigate the urban heat islands (UHIs) effect driven by land use land cover (LULC) change over Jimma city in southwestern parts of Ethiopia. Land surface temperature (LST) estimation at city level is essential for examining UHI effect on residents. In the present study, LULC, normalized difference vegetation index (NDVI), and normalized difference built-up index (NDBI) were extracted from Landsat 7 ETM + (2000) and Landsat 8 OLI/TIRS (2020) using geospatial technologies. This research evaluates the trends of UHI in response to LULC dynamics. Results show that the spatiotemporal coverage of vegetation has slightly declined from 12.3% in 2000 to 10.8% in 2020. Results confirmed that there is a negative relationship between vegetation coverage and mean LST. The mean LST in the city ranges between 24.5 and 26.3 °C in 2000 and 2020, respectively. Maximum UHI increased from 32.5 °C in 2000 to 34.7 °C in the year 2020. Maximum LST in the city is observed around built-up areas and bare land, whereas minimum temperature was recorded around vegetative and open space areas. The results of this research will be helpful for urban managers to consider the importance of urban green areas and open space in minimizing the potential impacts of UHI on city residents in the study area and beyond.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

Available in the manuscript

Code availability

N/A

References

  • Abebe MS, Derebew KT, Gemeda DO (2019) Exploiting temporal spatial patterns of informal settlements using GIS and remote sensing technique: a case study of Jimma city, southwestern Ethiopia. Environ Syst Res 8(1). https://doi.org/10.1186/s40068-020-0163-z

  • Abutaleb KAA, Ngie A, Darwish A, Ahmed MH, Arafat SM, Ahmed F (2015) Assessment of urban heat island using remote sensed imagery over greater Cairo Egypt. Adv Remote Sens 4:35–47

    Article  Google Scholar 

  • Afrasinei GM, Melis MT, Buttau C, Arras C, Pistis M, Zerrim A, Guied M, Ouessar M, Essifi B, Zaied MB, Jilali A, Jarray H, Ghiglieri G (2017) Classfication methods for detecting and evaluating changes in desertification-related features in arid and semiarid environments. Euro-Mediterr J Environ Integr 2(14). https://doi.org/10.1007/s41207-017-0021-1

  • Agapiou A (2020) Estimating proportions of vegetation cover at the vicinity of archaeological sites using Sentinel -1 and -2 data, supplemented by crowdsources OpenStreetMap geodata. Appl Sci 10:4764. https://doi.org/10.3390/app10144764

    Article  Google Scholar 

  • Alexander C (2020) Normalized difference spectral indices and urban land cover as indicators of land surface temperature (LST). Int J Appl Earth Obs Geoinf 86:102013. https://doi.org/10.1016/j.jag.2019.102013

  • Al-Kafy A, Al-Faisal A, Rahman MdS, Islam M, Al-Rakib A, Islam MdA, Khan Md HS, Sikdar MdS, Aarker MdHS, Mawa J, Sattar GS (2021) Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh. Sustain Cities Soc 64:102542

    Article  Google Scholar 

  • Amani-Beni M, Zhang B, **e GD, Shi Y (2019) Impacts of urban green landscape patterns on land surface temperature: evidence from the adjacent area of Olympic Forest Parrk of Bei**g, China. Sustainability 11:513. https://doi.org/10.3390/su11020513

    Article  Google Scholar 

  • Balew A, Korme T (2020) Monitoring land surface temperature in Bahir Dar city and its surrounding using Landsat images. Egypt J Remote Sens Space Sci 23(3):371–386

    Google Scholar 

  • Barry RG, Chorley RJ (2003) Atmosphere, weather and climate, 8th edition (1st edition 1968). Routledge London, p25

  • Cai Y, Chen G, Wang Y, Yang L (2017) Impacts of land cover and seasonal variation on maximum air temperature estimation using MODIS imagery. Remote Sens 9:233

    Article  Google Scholar 

  • Carlson TN, Ripley DA (1997) On the relationship between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ 62:241–252

    Article  Google Scholar 

  • Central Statistial Agency (CSA) (2007) Central Statistical Agency. https://www.csa.gov.et/census-report/complete-report/census-2007?start=5 (Accessed on November 16, 2020)

  • Chibuike EM, Ibukun AO, Kunda JJ, Abbas A (2018) Assessment of green parks cooling effects on Abuja urban microclimate using geospatial techniques. Remote Sens Appl: Soc Environ 11:11–21

  • CSA (2014) The Federal Democratic Republic of Ethiopia Central Statistical Agency. Statistical Report on the 2013 National Labour Force Survey. Statistical Bulletin, Addis Ababa, Ethiopia

  • Doan VQ, Kusaka H, Nguyen TM (2019) Roles of past, present, and future land use and anthropogenic heat release changes on urban heat island effects in Hanoi, Vietnam: numerical experiments with a regional climate model. Sustain Cities Soc 47:101479

    Article  Google Scholar 

  • Firozjaei MK, Fathololoumi S, Alavipanah SK, Kiavarz M, Vaezi AR, Biswas A (2020) A new approach for modeling near surface temperature lapse rate based on normalized land surface temperature data. Remote Sens Environ 242:111746

    Article  Google Scholar 

  • Gelet M, Suryabhagavan KV, Balakrishnan M (2010) Land-use and landscape pattern changes in Holeta-Berga watershed, Ethiopia. Int J Ecol Environ Sci 36(2–3):117–132

    Google Scholar 

  • Gemeda DO, Feyssa DH, Garedew W (2020) Meteorological trend data analysis and local community perceptions towards climate change: a case study of Jimma city, southwestern Ethiopia. Environ Dev Sustain 23:5885–5903

    Article  Google Scholar 

  • Gemeda DO, Korecha D, Garedew W (2021) Evidence of climate change presences in the wettest parts of southwest Ethiopia. Heliyon 7(9):e08009. https://doi.org/10.1016/j.heliyon.2021.e088009

    Article  Google Scholar 

  • Guha S, Govil H, Gill N, Dey A (2020) A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data. Qut Int 575–576:249–258

    Google Scholar 

  • He BJ (2019) Towards the next generation of green building for urban heat island mitigation: zero UHI impact building. Sustain Cities Soc 50:101647

    Article  Google Scholar 

  • Houghton RA (1994) The worldwide extent of land-use change. Bioscience 44:305–313

    Article  Google Scholar 

  • Hua L, Zhang X, Nie Q, Sun F, Tang L (2019) The impacts of the expansion of urban impervious surfaces on urban heat islands in a coastal city in China. Sustainability 12:475

    Article  Google Scholar 

  • Kafy AA, Dey NN, Rakib AA, Rahaman ZA, Nasher NMR, Bhatt A (2021) Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh Using CA-ANN Algorithm. Environmental Challenges 4:100190. https://doi.org/10.1016/j.envc.2021.100190

    Article  Google Scholar 

  • Khan MS, Ullah S, Sun T, Rehman AU, Chen L (2020) Land-use /land-cover changes and its contributions to urban heat island: a case study of Islamabad, Pakistan. Sustainability 12:3861

    Article  Google Scholar 

  • Khandelwal S, Goyal R, Kaul N, Mathew A (2018) Assessment of land surface temperature variation due to change in elevation of area surrounding Jaipur, India. Egypt J Remote Sens Space. 21(1):87–94. https://doi.org/10.1016/j.ejrs.2017.01.005

    Article  Google Scholar 

  • Kong F, Yan W, Zheng G, Yin H, Cavan G, Zhan W, Zhang N, Cheng L (2016) Retrieval of three-dimensional tree canopy and shade using terrestrial laser scanning (TLS) data to analyze the cooling effect of vegetation. Agric for Meteorol 217:22–34

    Article  Google Scholar 

  • Kumari B, Tayyab M, Salman S, Mallick J, Khan MF, Rahman A (2018) Satellite-driven land surface temperature (LST) using Landsat 5, 7 (TM/ETM+ SLC) and Landsat 8 (OLI/TIRS) data and its association with built-up and green cover over urban Delhi, India. Remote Sens Earth Syst Sci 1:63–78

    Article  Google Scholar 

  • Mallick J, Kant Y, Bharath BD (2008) Estimation of land surface temperature over Delhi using Landsat-7 ETM+. J Ind Geophys Union 12(3):131–140

    Google Scholar 

  • Matloob A, Sarif MO, Um JS (2021) Evaluating the inter-relationship between OCO-2 XCO2 and MODIS-LST in an industrial belt located at western Bengaluru city of India. Spat Inf Res 29:257–265

    Article  Google Scholar 

  • Merga BB, Moisa MB, Negash DA, Ahmed Z (2022) Gemeda DO (2022) Land surface temperature variation in response to land-use and land-cover dynamics: a case of Didessa River sub-basin in western Ethiopia. Earth Syst Environ. https://doi.org/10.1007/s41748-022-00303-3

    Article  Google Scholar 

  • Moisa MB, Dejene IN, Merga BB, Gemeda DO (2022a) Impacts of land use/land cover dynamics on land surface temperature using geospatial techniques in Anger River sub-basin western Ethiopia. Environ Earth Sci 81:99. https://doi.org/10.1007/s12665-022-10221-2

    Article  Google Scholar 

  • Moisa MB, Merga BB, Gemeda DO (2022b) Multiple indices-based assessment of agricultural drought: a case study in Gilgel Gibe sub-basin, southern Ethiopia. Theoret Appl Climatol 148:455–464

    Article  Google Scholar 

  • Naeem S, Cao C, Qazi W, Zamani M, Wei C, Acharya B, Rehman A (2018) Studying the association between green space characteristics and land surface temperature for sustainable urban environments: an analysis of Bei**g and Islamabad. ISPRS Int J Geo Inf 7:38. https://doi.org/10.3390/ijgi7020038

    Article  Google Scholar 

  • Nwakaire CM, Onn CC, Yap SP, Yuen CW, Onodagu PD (2020) Urban heat island studies with emphasis on urban pavements: a review. Sustain Cities Soc 63:102476. https://doi.org/10.1016/j.scs.2020.102476

    Article  Google Scholar 

  • Pathak C, Chandra S, Maurya G, Rathore A, Sarif MdO, Gupta DD (2021) The effects of land indices on thermal state in surface urban heat island formation: a case study on Agra city in India using remote sensing data (1992–2019). Earth Syst Environ 5:135–154

    Article  Google Scholar 

  • Qiao Z, Liu L, Qin Y, Xu X, Wang B, Liu Z (2020) The impact of urban renewal on land surface temoperature changes: a case study in the Main City of Guangzhou, China. Remote Sens 12(5):794

    Article  Google Scholar 

  • Ramachandran J, Lalitha R, Sivassubramanian K (2019) Remote sensing based land surface temperature analysis in diverse environment of Lalgudi block. Int J Environ Clim Change 9(3):142–149

    Article  Google Scholar 

  • Ranagalage M, Ratnayake SS, Dissanayake D, Kumar L, Wickremasinghe H, Vidanagama J, Cho H, Udagedara S, Jha KK, Simwanda M, Phiri D, Perera E, Muthunayake P (2020) Spatiotemporal variation of urban heat islands for implementing nature-based solutions: a case study of Kurunegala, Sir Lanka. ISPRS Int J Geo-Inf 9:461

    Article  Google Scholar 

  • Rousta I, Sarif MO, Gupta RD, Olafasson H, Ranagalage M, Murayama Y, Zhang H, Mushore TD (2018) Spatiotemporal analysis of land use/ land cover and its effects on surface urban heat island Landsat data: a case study of metropolitan city Tehran (1988–2018). Sustainability 10(12):4433

    Article  Google Scholar 

  • Sarif MO (2021) Gupta RD (2021b) Spatiotemporal map** of land use/land cover dynamics using remote sensing and GIS approach: a case study of Prayagraj city, India (1988–2018). Environ Dev Sustain. https://doi.org/10.1007/s10668-021-01475-0

    Article  Google Scholar 

  • Sarif MO, Gupta RD (2019) Land surface temperature profiling and its relationships with land indices: a case study on Lucknow city. ISPRS Ann Photogramm Remote Sens Spatial Inf Sci IV-5/W2:89–96. https://doi.org/10.5194/isprs-annals-IV-5-W2-89-2019

    Article  Google Scholar 

  • Sarif MO, Gupta RD (2021) Modelling of trajectories in urban sprawl types and their dynamics (1988–2018): a case study of Prayagraj city (India). Arab J Geosci 14:1347

    Article  Google Scholar 

  • Sarif MO, Rimal B, Stork NE (2020) Assessment of changes in land use/land cover and land surface temperature and their impact on surface urban heat island phenomena in the Kathmandu Valley 91988–2018). ISPRS Int J Geo Inf 9(12):726

    Article  Google Scholar 

  • Sekertekin A, Bonafoni S (2020) Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: assessment of different retrieval algorithms and emissivity models and toolbox implementation. Remote Sens 12:294

    Article  Google Scholar 

  • Sobrino JA, Jimenz-Munoz JC, Paolini L (2004) Land surface temperature retrieval from LANDSAT TM 5. Remote Sens Environ 90(4):434–440

    Article  Google Scholar 

  • Stemn E, Kumi-Boateng B (2020) Modelling of land surface temperature changes as determinant of urban heat island and risk of heat-related conditions in the Wassa West mining area of Ghana. Model Earth Syst Environ 6:1727–1740

    Article  Google Scholar 

  • Wang F, Qin Z, Song C, Tu L, Karnieli A, Zhao S (2015) An improven mono-window algorthim for land surface temperature reterival from Landsat 8 thermal infrared sensor data. Remote Sens 7(4):4268–4289

    Article  Google Scholar 

  • Wang L, Hou H, Weng J (2020) Ordinary least squares modelling of urban heat island intensity based on landscape composition and configuration: a comparative study among three megacitie along the Yangtze River. Sustain Cities Soc 62:102381

    Article  Google Scholar 

  • Wolteji BN, Bedhadha ST, Gebre SL, Alemayehu E, Gemeda DO (2022) Multiple indices based agricultural drought assessment in the Rift Valley region of Ethiopia. Environmental Challenges 7:100488. https://doi.org/10.1016/j.envc.2022.100488

    Article  Google Scholar 

  • Wu W (2014) The Generalized Difference Vegetation Index (GDVI) for dryland characterization. Remote Sens 6:1211–1233. https://doi.org/10.3390/rs6021211

    Article  Google Scholar 

  • Yu Z, Yao Y, Yang G, Wang X, Vejre H (2019) Strong contribution of rapid urbanization and urban agglomeration development to regional thermal environmental dynamics and evolution. For Ecol Manage 446:214–225

    Article  Google Scholar 

  • Yuvaraj RM (2020) Extents of predictors for land surface temperature using multiple regression model. Sci World J. https://doi.org/10.1155/2020/3958589

    Article  Google Scholar 

  • Zare M, Drastig K, Zude-Sasse M (2019) Tree water status in apple orchards measure by means of land surface temperature and vegetation index (LST-NDVI) trapezodial space derived from Landsat 8 satellite images. Sustainability 12:70

    Article  Google Scholar 

  • Zhang B, **e G, Gao J, Yang Y (2014) The cooling effect of urban green spaces as a contribution to energy-saving and emission-reduction: a case study in Bei**g, China. Build Environ 76:37–43

    Article  Google Scholar 

  • Zhang J, Wang Y, Li Y (2006) AC ++ programme for retrieving land surface temperature from the data of Landsat TM/ETM+ band6. Comput Geosci 32:1796–1805

    Article  Google Scholar 

Download references

Acknowledgements

First of all, we acknowledge Wollega University Faculty of Technology, Jimma University College of Agriculture and Veterinary Medicine, and Oda Bultum University Institute of Land Administration for the existing resources to conduct this study. Secondly, we acknowledge the ArcGIS, ERDAS Imagine, and Google Earth for providing a crucial tool to evaluate the state of the city environment particularly with respect to the urban heat island assessment. Finally, we acknowledge the two anonymous reviewers and the editors of the Theoretical and Applied Climatology journal for their good comments and inputs.

Author information

Authors and Affiliations

Authors

Contributions

MBM: conceptualization, methodology, data collection, software, data analysis, original draft preparation, and editing. BBM: conceptualization, methodology, and data analysis. DOG: conceptualization, methodology, and reviewing and editing the draft manuscript.

Corresponding author

Correspondence to Dessalegn Obsi Gemeda.

Ethics declarations

Ethics approval

N/A

Consent to participate

N/A

Consent for publication

The authors agreed to submit the manuscript for publication in the Journal of Theoretical and Applied Climatology.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moisa, M.B., Merga, B.B. & Gemeda, D.O. Urban heat island dynamics in response to land use land cover change: a case of Jimma city, southwestern Ethiopia. Theor Appl Climatol 149, 413–423 (2022). https://doi.org/10.1007/s00704-022-04055-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-022-04055-y

Navigation