Analysis of the cooling effects of urban green spaces in mitigating micro-climate change using geospatial techniques in Adama City, Ethiopia

References

•  
   Google Scholar
• Avdan, U., & Jovanovska, G. (2016). Algorithm for automated mapping of land surface temperature using Landsat 8 satellite data. Journal of Sensors, 2016, 1–17. Article ID 1480307. https://doi.org/10.1155/2016/1480307
   Web of Science ®Google Scholar
• Bhatta, B. (2008). Remote sensing and GIS. Oxford University Press.
   Google Scholar
• Buyadi, S. N. A., Mohd, W. M. N. W., & Misni, A. (2015). Vegetation’s Role on Modifying Microclimate of Urban Resident. Procedia - Social and Behavioral Sciences Elsevier BV, 202(December 2014), 400–407. https://doi.org/10.1016/j.sbspro.2015.08.244
   Google Scholar
• Central Statistical Authority (CSA) Adama Branch. (2009). Population and housing census of Ethiopia: Results for Adama City. Adama.
   Google Scholar
• Chen, X., Su, Y., Li, D., Huang, G., Chen, W., & Chen, S. (2012). Study on the cooling effects of urban parks on surrounding environments using Landsat tm data: A case study in Guangzhou, Southern China. International Journal of Remote Sensing, 33(18), 5889–5914. https://doi.org/10.1080/01431161.2012.676743
   Web of Science ®Google Scholar
• Chen, X. L., Zhao, H. M., Li, P. X., & Yin, Z. Y. (2006). Remote sensing imagebased analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environments, 104(2), 133–146. https://doi.org/10.1016/j.rse.2005.11.016
   Web of Science ®Google Scholar
• Choi, H., Lee, W., & Byun, W. (2012). Determining the Effect of Green Spaces on urban heat distribution using satellite imagery. Asian Journal of Atmospheric Environment, 6(2), 127–135. https://doi.org/10.5572/ajae.2012.6.2.127
   Google Scholar
• Cohen, P., Potchter, O., & Matzarakis, A. (2013). Human thermal perception of coastal Mediterranean outdoor urban environments. Applied Geography, 37, 1–10. https://doi.org/10.1016/j.apgeog.2012.11.001
   Web of Science ®Google Scholar
• Dagnachew, S. (2018). Remote sensing and GIS approach for estimation of land surface temperature to examine urban heat island effect on a city scale; the case of Hawassa city. (Un published).
   Google Scholar
• Effat, H. A., Taha, L. G., & Mansour, K. F. (2014). Change detection of land cover and urban heat islands using multi-temporal Landsat images, application in Tanta City, Egypt. Open Journal of Remote Sensing and Positioning, 1(2), 1–15. https://doi.org/10.15764/RSP.2014.02001
   Google Scholar
• Feyisa, G. L., Dons, K., & Meilby, H. (2014). Efficiency of parks in mitigating urban heat island effect: An example from Addis Ababa. Landscape and Urban Planning, 123, 87–95. https://doi.org/10.1016/j.landurbplan.2013.12.008
   Web of Science ®Google Scholar
• Foody, G. M., Campbell, N. A., Trodd, N. M., & Wood, T. F. (1992). Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification. Photogrammetric Engineering & Remote Sensing, 58(9), 1335–1341.
   Web of Science ®Google Scholar
• Gandhi, G. M., Parthiban, S., Thummalu, N., & Christy, A. (2015). NDVI: Vegetation change detection using remote sensing and GIS–A case study of Vellore district. Procedia Computer Science, 57, 1199–1210. https://doi.org/10.1016/j.procs.2015.07.415
   Google Scholar
• Gémes, O., Tobak, Z., & Van Leeuwen, B. (2016). Satellite based analysis of surface urban heat island intensity. Journal of Environmental Geography, 9(1–2), 23–30. https://doi.org/10.1515/jengeo-2016-0004
   Google Scholar
• IPCC. (2014). Climate change impacts, adaptation and vulnerability: Regional aspects. Cambridge University Press.
   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. Agricultural and Forest Meteorology, 217, 22–34. https://doi.org/10.1016/j.agrformet.2015.11.005
   Web of Science ®Google Scholar
• Kshama, G. (2012). Urban neighborhood green index – a measure of green spaces in urban areas. Landscape and Urban Planning, 105(2012), 325–335. https://doi.org/10.1016/j.landurbplan.2012.01.003
   Google Scholar
• Melkamu, & Meseret. (2019). Analysis of spatio-temporal land surface temperature and normalized difference vegetation index changes in the andassa watershed, Blue Nile Basin, Ethiopia. Journal of Resources and Ecology, 10(1), 77. https://doi.org/10.5814/j.issn.1674-764x.2019.01.010
   Google Scholar
• Merga, B. B., Mamo, F. L., Moisa, M. B., Tiye, F. S., & Gemeda, D. O. (2023). Assessment of flood risk by using geospatial techniques in Wabi Shebele River Sub-basin, West Hararghe Zone, Southeastern Ethiopia. Applied Water Science, 13(11), 214. https://doi.org/10.1007/s13201-023-02019-9
   Web of Science ®Google Scholar
• Merga, B. B., Moisa, M. B., & Gemeda, D. O. (2024). Spatial analysis of malaria risk using geospatial techniques in Wabi Shebele River sub-basin, Southeastern Ethiopia. Sustainable Environment, 13(11). https://doi.org/10.1007/s13201-023-02019-9
   Google Scholar
• Merga, B. B., Moisa, M. B., Negash, D. A., & Ahmed, Z. (2022). Gemeda DO (2022) land surface temperature variation in response to landuse and land-cover dynamics: A case of Didessa River sub-basin in western Ethiopia. Earth Systems and Environment, 6(4), 803–815. https://doi.org/10.1007/s41748-022-00303-3
   Google Scholar
• Moisa, M. B., & Gemeda, D. O. (2021). Analysis of urban expansion and land use/land cover changes using geospatial techniques: A case of Addis Ababa City, Ethiopia. Applied Geomatics, 13(4), 853–861. https://doi.org/10.1007/s12518-021-00397-w
   Web of Science ®Google Scholar
• Moisa, M. B., Merga, B. B., Deribew, K. T., Feyissa, M. E., Gurmessa, M. M., & Gemeda, D. O. (2023). Urban green space suitability analysis using geospatial techniques: A case study of Addis Ababa, Ethiopia. Geocarto International, 38(1). https://doi.org/10.1080/10106049.2023.2213674
   Web of Science ®Google Scholar
• Moisa, M. B., Merga, B. B., & Gemeda, D. O. (2022). Urban heat island dynamics in response to land use land cover change: A case of Jimma city, Southwestern Ethiopia. Theoretical and Applied Climatology, 149(1–2), 413–423. https://doi.org/10.1007/s00704-022-04055-y
   Web of Science ®Google Scholar
• Ngom, R., Gosselin, P., & Blais, C. (2016). Reduction of disparities in access to greens paces: Their geographic insertion and recreational functions matter. Applied Geography, 66, 35–51. https://doi.org/10.1016/j.apgeog.2015.11.008
   Web of Science ®Google Scholar
• Nor, S. (2013). Green spaces growth impact on the urban microclimate. Procedia - Social & Behavioral Sciences, 105, 547–557. https://doi.org/10.1016/j.sbspro.2013.11.058
   Google Scholar
• Nuruzzaman, M. (2015). Urban heat island: Causes, effects and mitigation measures-A review. International Journal of Environmental Monitoring and Analysis, 3(2), 67. https://doi.org/10.11648/j.ijema.20150302.15
   Google Scholar
• Pervaiz, S., Shirazi, A. S., Khan, F. Z., Javid, K., & Aziz, M. T. (2018). Tree census of urban green space with special reference to Gora cemetery of Lahore, Pakistan. International Journal of Biosciences, 13(1), 431–439.
   Google Scholar
• Roza, A., Suryabhagavan, K. V., Balakrishnan, M., & Hameed, S. (2017). Geo-spatial approach for urban green space and environmental quality: A case study in Addis Ababa city. Journal of Geographic Information System, 9(2), 191–206. https://doi.org/10.4236/jgis.2017.92012
   Google Scholar
• Samson, W., Suryabhagavan, K. V., & Satishkumar, B. (2018). Urban green areas to mitigate urban heat island effect: The case of Addis Ababa, Ethiopia. International Journal of Ecology and Environmental Sciences, 44(4), 353–367.
   Google Scholar
• Sandra, O., Henrique, A., & Teresa, V. (2011). The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study in Lisbon. Building and Environment, 46(11), 2186–2194. https://doi.org/10.1016/j.buildenv.2011.04.034
   Web of Science ®Google Scholar
• Senanayake, I. P., Welivitiya, W. D. D. P., & Nadeeka, P. M. (2013). Remote sensing based analysis of urban heat islands with vegetation cover in Colombo city, Sri Lanka using Landsat-7 ETM+ data. Urban Climate, 5, 19–35. https://doi.org/10.1016/j.uclim.2013.07.004
   Google Scholar
• Sobrino, J. A., Rosa, O., Guillen, S., Juan, C. J., Belen, F., Victoria, H., Cristian, M., Yves, J., Juan, C., Mireia, R., Antonio, G. J., Eduardo, D. M., Remo, B., & Marc. (2012). Evaluation of the surface UHI effect in the city of Madrid by thermal RS. International Journal of Remote Sensing, 34(9–10), 3177–3192. https://doi.org/10.1080/01431161.2012.716548
   Web of Science ®Google Scholar
• Teferi, E., & Abraha, H. (2017). Urban heat island effect of Addis Ababa City: Implications of urban green spaces for climate change adaptation. In W. Leal Filho, S. Belay, J. Kalangu, W. Menas, P. Munishi, & K. Musiyiwa (Eds.), Climate change adaptation in Africa. Climate change management. Springer. https://doi.org/10.1007/978-3-319-49520-0_33
   Google Scholar
• Tong, H., Walton, A., Sang, J., & Chan, J. C. (2005). Numerical simulation of urban boundary layer over complex terrain of Hong Kong. Atmospheric Environment, 39(19), 3549. https://doi.org/10.1016/j.atmosenv.2005.02.045
   Web of Science ®Google Scholar
• Varshney, A. (2013). Improved NDBI differencing algorithm for built up regions change detection from remote-sensing data: An automated approach. Remote Sensing Letters, 4(5), 504–512. https://doi.org/10.1080/2150704X.2013.763297
   Web of Science ®Google Scholar
• Yu, X., Xulin, G., & Zhaocong, W. (2014). Land surface temperature retrieval from Landsat 8 TIRS—comparison between radiative transfer equation-based method, split window algorithm and single channel method. Remote Sensing, 6(10), 9829–9852. https://doi.org/10.3390/rs6109829
   Web of Science ®Google Scholar
• Zhaowu, Y., Xieying, G., Yuxi, Z., Motoya, K., & Henrik, V. (2018). Variations in land surface temperature and cooling efficiency of green space in rapid urbanization: The case of Fuzhou city, China. Urban Forestry & Urban Greening, 29, 113–121. https://doi.org/10.1016/j.ufug.2017.11.008
   Web of Science ®Google Scholar
• Zhong, L., Su, Z., Ma, Y., Salama, M. S., & Sobrino, J. A. (2011). Accelerated changes of environmental conditions on the Tibetan plateau caused by climate change. Journal of Climate, 24(24), 6540–6550. https://doi.org/10.1175/JCLI-D-10-05000.1
   Web of Science ®Google Scholar
• Zhou, Y., Yang, G., Wang, S., Wang, L., Wang, F., & Liu, X. (2014). A new index for mapping built up and bare land areas from Landsat8 OLI data. Remote Sensing Letters, 5(10), 862–871. https://doi.org/10.1080/2150704X.2014.973996
   Web of Science ®Google Scholar
• Žuvela-Aloise, M., Koch, R., Buchholz, S., & Früh, B. (2016). Modelling the potential of green and blue infrastructure to reduce urban heat load in the city of Vienna. Climatic Change, 135(3–4), 425–438. https://doi.org/10.1007/s10584-016-1596-2
   Web of Science ®Google Scholar