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Regular Articles

Assessing the intraurban differences in vegetation coverage and surface climate in a heterogeneous area

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REFERENCES

  • Adeleke, O., Akinlabi, S. A., Hassan, S. & Jen, T.C. 2020. Predicting the Effect of Seasonal Variation on the Physical Composition of Municipal Solid Waste: A Case Study of the City of Johannesburg. Advances in Manufacturing Engineering. Springer. Singapore, 2020: 187–198.
  • Adeyeri, O.E., Akinsanola, A.A. & Ishola, K.A. 2017. Investigating surface urban heat island characteristics over Abuja, Nigeria: Relationship between land surface temperature and multiple vegetation indices. Remote Sensing Applications: Society and Environment 7: 57–68.
  • Ahmed, B., Kamruzzaman, M., Zhu, X., Rahman, M. & Choi, K. 2013. Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh. Remote Sensing 5: 5969–5998.
  • Ahmed, H.A., Singh, S.K., Kumar, M., Maina, M.S., Dzwairo, R. & Lal, D. 2020. Impact of urbanization and land cover change on urban climate: Case study of Nigeria. Urban Climate 32: 100600.
  • Aina, Y.A., Adam, E.M. & Ahmed, F. 2017. Spatiotemporal Variations in the Impacts of Urban Land Use Types on Urban Heat Island Effects: The Case of Riyadh, Saudi Arabia. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2: 9–14.
  • Alexander, C. 2020. Normalised difference spectral indices and urban land cover as indicators of land surface temperature (LST). International Journal of Applied Earth Observation and Geoinformation 86: 102013.
  • Amani-Beni, M., Zhang, B., Xie, G.-D. & Shi, Y. 2019. Impacts of Urban Green Landscape Patterns on Land Surface Temperature: Evidence from the Adjacent Area of Olympic Forest Park of Beijing, China. Sustainability 11: 513.
  • Baris, M.E., Sahin, S. & Yazgan, M.E. 2009. The contribution of trees and green spaces to the urban climate: The case of Ankara. African Journal of Agricultural Research 4: 791–800.
  • City Of Johannesburg Metropolitan Municipality. 2020. 2019/20 IDP Review: The City of Johannesburg. City of Johannesburg.
  • Das, S. & Angadi, D.P. 2020. Land use-land cover (LULC) transformation and its relation with land surface temperature changes: A case study of Barrackpore Subdivision, West Bengal, India. Remote Sensing Applications: Society and Environment 19: 100322.
  • Department Of Environment Forestry And Fisheries. 2020. South Africa Yearbook 2019/20 [Online]. Available: https://www.gcis.gov.za/sites/default/files/docs/resourcecentre/yearbook/Yearbook2020-6-Environment%20and%20Tourism.pdf (accessed 04 February 2021).
  • El Kenawy, A.M., Hereher, M.E. & Robaa, S.M. 2019. An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements. Remote Sensing 11: 2369.
  • Esri Arcgis. 2018. Version 10.6. ESRI: Redlands, CA, USA.
  • Ferrini, F., Fini, A., Mori, J. & Gori, A. 2020. Role of Vegetation as a Mitigating Factor in the Urban Context. Sustainability 12: 4247.
  • Guha, S. & Govil, H. 2020. An assessment on the relationship between land surface temperature and normalized difference vegetation index. Environment, Development and Sustainability 23: 1944–1963.
  • Hardy, C. & Nel, A. 2015. Data and techniques for studying the urban heat island effect in Johannesburg. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 40: 203.
  • Hong, S.-H., Hendrickx, J.M.H. & Borchers, B. 2011. Down-scaling of SEBAL derived evapotranspiration maps from MODIS (250 m) to Landsat (30 m) scales. International Journal of Remote Sensing 32: 6457–6477.
  • Howard, L. 1833. The climate of London: deduced from meteorological observations made in the metropolis and at various places around it, Harvey and Darton, J. and A. Arch, Longman, Hatchard, S. Highley and R. Hunter.
  • Huang, C. & Ye, X. 2015. Spatial Modeling of Urban Vegetation and Land Surface Temperature: A Case Study of Beijing. Sustainability 7: 9478–9504.
  • Imhoff, M.L., Zhang, P., Wolfe, R.E. & Bounoua, L. 2010. Remote sensing of the urban heat island effect across biomes in the continental USA. Remote sensing of environment 114: 504–513.
  • Islam, S. & Ma, M. 2018. Geospatial Monitoring of Land Surface Temperature Effects on Vegetation Dynamics in the Southeastern Region of Bangladesh from 2001 to 2016. ISPRS International Journal of Geo-Information 7: 486.
  • Jung, M.C., Dyson, K. & Alberti, M. 2021. Urban Landscape Heterogeneity Influences the Relationship between Tree Canopy and Land Surface Temperature. Urban Forestry & Urban Greening 57: 126930.
  • Knight, J. 2018. Transforming the Physical Geography of a City: An Example of Johannesburg, South Africa. Urban Geomorphology 2018: 129–147.
  • Lechner, A.M., Foody, G.M. & Boyd, D.S. 2020. Applications in Remote Sensing to Forest Ecology and Management. One Earth 2: 405–412.
  • Mabin, A. 2014. In the forest of transformation. Changing Space, Changing City. Wits University Press. Johannesburg: 395–417.
  • Maree, G. & Khanyile, S. 2017. Green vegetation and impervious surfaces in the Gauteng Province [Online]. Available: https://www.gcro.ac.za/outputs/map-of-the-month/detail/green-vegetation-and-impervious-surfaces-in-the-gauteng-province/ (accessed 22 September 2020).
  • Marzban, F., Sodoudi, S. & Preusker, R. 2017. The influence of land-cover type on the relationship between NDVI–LST and LST-Tair. International Journal of Remote Sensing 39: 1377–1398.
  • Mcpherson, E.G. & Simpson, J.R. 2003. Potential energy savings in buildings by an urban tree planting programme in California. Urban Forestry & Urban Greening 2: 73–86.
  • Mudede, M.F., Newete, S.W., Abutaleb, K. & Nkongolo, N. 2020. Monitoring the urban environment quality in the city of Johannesburg using remote sensing data. Journal of African Earth Sciences 171: 103969.
  • Mushore, T.D., Mutanga, O., Odindi, J. & Dube, T. 2017. Linking major shifts in land surface temperatures to long term land use and land cover changes: A case of Harare, Zimbabwe. Urban Climate 20: 120–134.
  • Ngie, A. 2020. Thermal Remote Sensing of Urban Climates in South Africa through the Mono-Window Algorithm. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11: 117–123.
  • Ngigi, S.M. 2009. Establishing effective, appropriate and applicable technologies in treating contaminated surface water as part of a rehabilitation strategy for the Princess dump in Roodepoort, West of Johannesburg. Doctoral dissertation, (Doctoral dissertation). University of the Witwatersrand, Johannesburg.
  • Nimit, K., Masuluri, N.K., Berger, A.M., Bright, R.P., Prakash, S., Tvs, U., S, T., Rohit, K., A, P., Ghosh, T., & Varghese, S. & P, S. 2020. Oceanographic preferences of yellowfin tuna (Thunnus albacares) in warm stratified oceans: A remote sensing approach. International Journal of Remote Sensing 41: 5785–5805.
  • Odindi, J., Bangamwabo, V. & Mutanga, O. 2015a. Assessing the Value of Urban Green Spaces in Mitigating Multi-Seasonal Urban Heat using MODIS Land SurfaceTemperature (LST) and Landsat 8 data. International Journal of Environmental Research 9: 9–18.
  • Odindi, J., Mutanga, O., Abdel-Rahman, E.M., Adam, E. & Bangamwabo, V. 2015b. Determination of urban land-cover types and their implication on thermal characteristics in three South African coastal metropolitans using remotely sensed data. South African Geographical Journal 99: 52–67.
  • Ramon Solano, R., Didan, K., Jacobson, A. & Huete, A. 2010. Modis Vegetation Index User’s Guide. Tucson, AZ, USA, The University of Arizona.
  • Ranagalage, M., Murayama, Y., Dissanayake, D. & Simwanda, M. 2019. The Impacts of Landscape Changes on Annual Mean Land Surface Temperature in the Tropical Mountain City of Sri Lanka: A Case Study of Nuwara Eliya (1996–2017). Sustainability 11: 5517.
  • Rao, Y., Dai, J., Dai, D. & He, Q. 2021. Effect of urban growth pattern on land surface temperature in China: A multi-scale landscape analysis of 338 cities. Land Use Policy 103: 105314.
  • Rotem-Mindali, O., Michael, Y., Helman, D. & Lensky, I.M. 2015. The role of local land-use on the urban heat island effect of Tel Aviv as assessed from satellite remote sensing. Applied Geography 56: 145–153.
  • Schäffler, A. & Swilling, M. 2013. Valuing green infrastructure in an urban environment under pressure — The Johannesburg case. Ecological Economics 86: 246–257.
  • Shiff, S., Helman, D. & Lensky, I.M. 2021. Worldwide continuous gap filled MODIS land surface temperature dataset. Scientific Data 8: 74.
  • Song, C., Jia, L. & Menenti, M. 2013. Retrieving high-resolution surface soil moisture by downscaling AMSR-E brightness temperature using MODIS LST and NDVI data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7: 935–942.
  • Soto-Mardones, L. & Maldonado-Ibarra, I. 2015. Spatio-temporal variability of NDVI and land surface temperature in the Maule and Biobío Regions (2000-2012). Chilean journal of agricultural research 75: 434–442.
  • Statistics South Africa. 2011. Community Profile Databases [Online]. Available: http://www.statssa.gov.za/?page_id=3839 (accessed 22 September 2021).
  • Statistics South Africa. 2020. City of Johannesburg [Online]. Available: http://www.statssa.gov.za/?page_id=993&id=city-of-johannesburg-municipality (accessed 22 September 2020).
  • Storie, M. 2014. Changes in the natural landscape. Changing Space, Changing City. Wits University Press. Johannesburg: 137–153.
  • Wan, Z. 2006. MODIS land surface temperature products users’ guide. Institute for Computational Earth System Science. Santa Barbara, CA, USA, University of California.
  • Wang, W., Liang, S. & Meyers, T. 2008. Validating MODIS land surface temperature products using long-term nighttime ground measurements. Remote Sensing of Environment 112: 623–635.
  • Wapwera, S. & Egbu, C. 2013. Planning authorities: A review of roles, functions and responsibilities in Jos Metropolis, Nigeria. The Built & Human Environment Review 6: 55–70.
  • Yue, W., Xu, J., Tan, W. & Xu, L. 2007. The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing 28: 3205–3226.
  • Zhang, L.-W., Huang, J.-F., Guo, R.-F., Li, X.-X., Sun, W.-B. & Wang, X.-Z. 2013. Spatio-temporal reconstruction of air temperature maps and their application to estimate rice growing season heat accumulation using multi-temporal MODIS data. Journal of Zhejiang University Science B 14: 144–161.
  • Zhou, W., Wang, J. & Cadenasso, M.L. 2017. Effects of the spatial configuration of trees on urban heat mitigation: A comparative study. Remote Sensing of Environment 195: 1–12.

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