Quantification of land use/land cover dynamics and urban growth in rapidly urbanized countries: The case Hawassa city, Ethiopia

References

• Aboud, A. (2002). Natural Resources management in African countries: Understanding and improving Current practices CABI Publishing, New York, 2002. 335. https://doi.org/10.1093/jae/11.4.591
   Google Scholar
• Akotsi, E., Gachanja, M., & Ndirangu, J. (2006). Changes in the forest cover in Kenya’s five water towers, 2003-2005. Department of Resource Surveys &Remote Sensing. http://www.unep.org/dewa/Portals/67/pdf/forestcatchmentreport.pdf
   Google Scholar
• Bowler, D. E., Buyung-Ali, L., Knight, T. M., & Pullin, A. S. (2010). Urban greening to cool towns and cities: A systematic review of the empirical evidence. Landscape and Urban Planning, 97(3), 147–27. https://do i. org/1 0.1016/
   Web of Science ®Google Scholar
• Campbell, J. B. (1996). Introduction to remote sensing (2nd ed.). Taylor and Francis.
   Google Scholar
• Campbell, J. B., & Wynne, R. (2011). Introduction to Remote Sensing (5th ed.). Guilford Press. https://doi.org/10.3390/rs5010282
   Google Scholar
• Chavez, P. S., Jr. (1996). Image‐based atmospheric corrections revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, 1025–1036.
   Web of Science ®Google Scholar
• Chen, Y.-S., Lai, S.-B., & Wen, C.-T. (2006). The influence of green innovation performance on corporate advantage in Taiwan. Journal of Business Ethics, 67(4), 331–339. https://doi.org/10.1007/s10551-006-9025-5
   Web of Science ®Google Scholar
• Chica-Olmo, M., & Abarca, F. (2000). Computing geo statistical image texture for remotely sensed data classification, computers & geosciences. Photogrammetric Engineering and Remote Sensing, 26(4), 373–383. https://doi.org/10.1016/S0098-3004(99)00118-1
   Google Scholar
• Civco, D. L. (1989). Topographic normalization of Landsat Thematic Mapper digital imagery. Photogrammetric Engineering & Remote Sensing, 55, 1303–1309. https://doi.org/10.1080/01431160310001647993
   Web of Science ®Google Scholar
• Colby, J. D. (1991). Topographic normalization in rugged terrain. Photogrammetric Engineering and Remote Sensing, 57, 531–537. https://www.researchgate.net/publication/234225542
   Web of Science ®Google Scholar
• Daniel, A., Daniel, K., Woldetsadik, & Waktola, M. (2012). Detection and analysis of land-use and land-cover changes in the Mid-west escarpment of the Ethiopian rift. Valley Journal of Land Use Science, 7(3), 239–260. https://doi.org/10.1080/1747423X.2011.562556
   Google Scholar
• Escobedo, F. J., Kroeger, T., & Wagner, J. E. (2011). Urban forests and pollution mitigation: Analysing ecosystem services and disservices. Journal of Environmental Pollution, 159(8–9), 2078–2087. https://doi.org/10.1016/j.envpol.2011.01.010
   PubMed Web of Science ®Google Scholar
• FAO. (2000). Land cover classification System (LCCS). Classification concepts and user manual for software version 1.0. A. DiGregorio and L.J.M. Jansen:
   Google Scholar
• Gereta, E., Wolanski, E., Makus, B., & Serneels, S. (2001). Use of an hydrological model to predict the impact on the Serengeti ecosystems of deforestation, irrigation and the proposed Amala Weir water diversion project in Kenya.
   Google Scholar
• Gilabert, M. A., Conese, C., & Maselli, F. (1994). An atmospheric correction method for the automatic retrieval of surface reflectance from TM images. International Journal of Remote Sensing, 15(10), 2065–2086. https://doi.org/10.1080/01431169408954228
   Web of Science ®Google Scholar
• Goldman-Benner, R. L., Benítez, S., Calvache, A., Ramos, A. B., & Veiga, F. A. (2013). Water funds: A New ecosystem service and biodiversity conservation strategy. https://doi.org/10.1016/B978-0-12-809633-8.02054-9
   Google Scholar
• Gu, D., & Gillespie, A. (1998). Topographic normalization of Landsat TM images of forest based on subpixel sun–canopy–Sensor geometry. Remote Sensing of Environment, 64(2), 166–175. https://doi.org/10.1016/S0034-4257(97)00177-6
   Web of Science ®Google Scholar
• Gwan-Gyu Leea, Lee b, H.-W., & Lee, J.-H. (2015). Greenhouse gas emission reduction effect in the transportation sector by urban agriculture in Seoul, Korea. Landscape and Urban Planning, 140, 1–7. https://doi.org/10.1016/j.landurbplan.2015.03.012
   Web of Science ®Google Scholar
• Hadjimitsis, D. G., Clayton, C. R. I., & Hope, V. S. (2004). An assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs. International Journal of Remote Sensing, 25, 3651–3674. https://doi.org/10.1080/01431160310001647993
   Web of Science ®Google Scholar
• Hale, S. R., & Rock, B. N. (2003). Impact of topographic normalization on land-cover classification accuracy. Photogrammetric Engineering and Remote Sensing, 69(7), 785–791. https://doi.org/10.14358/PERS.69.7.785
   Web of Science ®Google Scholar
• Hawassa city Municipality. (2020) Hawassa city government analysis and development of strategic plan report (unpublished) the first five (2020/21-2024/25) and the second five (2025/26-2029/30) years strategic Plan Hawassa City Planning Project Office,
   Google Scholar
• Heo, J., & FitzHugh, T. W. (2000). A standardized radiometric normalization method for change detection using remotely sensed imagery. Photogrammetric Engineering and Remote Sensing, 66, 173–181.
   Web of Science ®Google Scholar
• Jensen, J. R. (1996). Introduction to digital image processing: A remote sensing perspective (2nd ed.). Prentice Hall.
   Google Scholar
• Kassa, L., Zeleke, G., Alemu, D., Hagos, F., & Heinimann, A. (2011). Impact of urbanization of Addis Ababa city on peri-urban environment and livelihood sekota dry land Agriculture center of Amhara Regional Agricultural Research Center. Centre of Amhara Regional Agriculture Research Institute :Addis Ababa.
   Google Scholar
• Lambin, E. F. (2005). Conditions for sustainability of human–environment systems: Information, motivation, and capacity. Global Environmental Change, 15(2005), 177–180. ( Elsevier). https://doi.org/10.1016/j.gloenvcha.2005.06.002
   Google Scholar
• Lille, S., & Kiefer, R. W. (1994). Remote Sensing and image interpretation (3rd ed.). John Wiley & Sons. Price £67.00 (hard covers), £19.95 (paperback). ISBN 0 471 30575 8 (pb).
   Google Scholar
• Li, W., Xie, Y., & Hao, F. (2014). Applying an improved rapid impact assessment matrix method to strategic environmental assessment of urban planning in China. Environmental Impact Assessment Review, 46, 13–24. https://doi.org/10.1016/j.eiar.2014.01.001
   Web of Science ®Google Scholar
• Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2014). A review of Remote Sensing image classification techniques: The role of spatio-contextual information. European Journal of Remote Sensing, 47(1), 389–411. https://doi.org/10.5721/EuJRS20144723
   Web of Science ®Google Scholar
• Markham, B. L., & Barker, J. L. (1987). Thematic Mapper bandpass solar exo-atmospheric irradiances. International Journal of Remote Sensing, 8(3), 517–523. https://doi.org/10.1080/01431168708948658
   Web of Science ®Google Scholar
• Marshall, F., Waldman, L., MacGregor, H., Mehta, L., & Randhawa, P. (2009). On the edge of sustainability: Perspectives on peri-urban dynamics, STEPS Working Paper 35, Brighton: STEPS Centre.
   Google Scholar
• McGovern, P. J., Solomon, S. C., Smith, D. E., Zuber, M. T., Simons, M., Wieczorek, M. A., Phillips, R. J., Neumann, G. A., Aharonson, O. & Head, J. W. (2004). Correction to “localized gravity/topography admittance and correlation spectra on Mars: Implications for regional and global evolution”. Journal of Geophysical Research: Planets, 109(E7).
   Web of Science ®Google Scholar
• Meyer, P., Itten, K. I., Kellenberger, T., Sandmeier, S., & Sandmeier, R. (1993). Radiometric corrections of topographically induced effects on Landsat TM data in an alpine environment. ISPRS Journal of Photogrammetry and Remote Sensing, 48(4), 17–28. https://doi.org/10.1016/0924-2716(93)90028-L
   Web of Science ®Google Scholar
• Miller, J. D., Kim, H., Kjeldsen, T. R., Packman, J., Grebby, S., & Dearden, R. (2014). Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover. Canadian Journal of Fisheries and Aquatic Sciences, 515, 59–70. https://doi.org/10.1016/j.jhydrol.2014.04.011
   Google Scholar
• Molla, M. B. (2014). Land use/land cover dynamics in the central Rift Valley region of Ethiopia: The case of Arsi Negele Woreda. Academia Journal of Environmental Sciences, 2(5), 074–088. https://doi.org/10.5897/AJAR2014.8728
   Google Scholar
• Pieterse, E. (2008). City futures: Confronting the crisis of urban development. Zed. ISBN 1842775405, 9781842775400.
   Google Scholar
• Pieterse, E.(2008). City futures: Confronting the crisis of urban development. Zed Books.
   Google Scholar
• Platt, R. V., & Goetz, A. H. (2004). A comparison of AVIRIS and Landsat for land use classification at the urban fringe. Photogrammetric Engineering and Remote Sensing, 70(7), 813–819. https://doi.org/10.14358/PERS.70.7.813
   Web of Science ®Google Scholar
• Rannikko, P. (1999). Combining social and ecological sustainability in the Nordic forest periphery. Study of Ahmedabad city and its Enviros. Journal of Indian Society of Remote Sensing, 19(2), 95–112. https://doi.org/10.1111/1467-9523.00115
   Google Scholar
• Redman, C. L. (1999). Human dimensions of ecosystem studies. In Ecosystems (Vol. 2, pp. 296–298). University of Arizona Press.
   Google Scholar
• Seto, K. C., Fragkias, M., Güneralp, B., Reilly, M. K., & Añel, J. A. (2011). A meta-analysis of global urban land expansion. PLOS ONE, 6(8), e23777. https://doi.org/10.1371/journal.pone.0023777
   PubMed Web of Science ®Google Scholar
• Shiferaw, H., Schaffner, U., Bewket, W., Alamirew, T., Zeleke, G., Teketay, D., & Eckert, S. (2019). Modelling the current fractional cover of an invasive alien plant and drivers of its invasion in a dryland ecosystem. Scientific Reports. https://doi.org/10.1038/s41598-018-36587-7
   Google Scholar
• Song, C., Woodcock, C. E., Seto, K. C., Lenney, M. P., & Macomber, S. A. (2001). Classification and change detection using Landsat TM data: When and how to correct atmospheric effect. Remote Sensing of Environment, 75(2), 230–244. https://doi.org/10.1016/S0034-4257(00)00169-3
   Web of Science ®Google Scholar
• Stefan, S., & Itten, K. I. (1997). A physically‐based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain.IEEE. Transactions on Geoscience and Remote Sensing, 35(3), 708–717. https://doi.org/10.1109/36.581991
   Web of Science ®Google Scholar
• Teillet, P. M., Guindon, B., & Goodenough, D. G. (1982). On the slope‐aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing, 8, 84–106. [Taylor & Francis Online], [Google Scholar]. https://doi.org/10.1080/07038992.1982.10855028
   Google Scholar
• Tokola, T., Löfman, S., & Erkkilä, A. (1999). Relative calibration of multi-temporal Landsat data for forest cover change detection. Remote Sensing of Environment, 68(1), 1–11. https://doi.org/10.1016/S0034-4257(98)00096-0
   Web of Science ®Google Scholar
• Toutin, T. (2004). Geometric processing of remote sensing images: Models, algorithms and methods. International Journal of Remote Sensing, 25(10), 1893–1924. Taylor & Francis Online. https://doi.org/10.1080/0143116031000101611
   Web of Science ®Google Scholar
• Tucker, C. J.(1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote sensing of environment, 8(2), 127–150.
   Web of Science ®Google Scholar
• U.S EPA. (2009). A summary of models for assessing the effects of community growth hand change on land-use patterns. In U.S. Environmental Protection Agency. National Academies Press (US). https://doi.org/10.1007/978-3-540-24795-1_19
   Google Scholar
• Vermote, E., Tanre, D., Deuze, J. L., Herman, M., & Morcrette, J. J. (1997). Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Transactions on Geoscience and Remote Sensing, 35(3), 675–686. https://doi.org/10.1109/36.581987
   Web of Science ®Google Scholar
• Xiao, J. Y., Shen, Y. J., Ge, J. F., Tateishi, R., Tang, C. Y., Liang, Y. Q. A. H., & Y, Z. (2006). Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Planning, 75(1–2), 1–2. https://doi.org/10.1016/j.landurbplan.2004.12.005
   Web of Science ®Google Scholar
• Zha, Y., Gao, J. & Ni, S.(2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583–594. https://doi.org/10.1080/01431160304987
   Web of Science ®Google Scholar
• Zhao, H., & Chen, X. (2005). Use of normalized difference bareness index in quickly mapping bare areas from TM/ETM+. Proceedings IEEE International Geoscience and Remote Sensing Symposium, IGARSS ’05, 3, China, 1666–1668.
   Google Scholar
• Zhu, G. B., Liu, X. L., & Jia, Z. G. (2006). A multi-resolution hierarchy classification study compared with conservative methods. In ISPRS WG II/3, II/6 Workshop Multiple representation and interoperability of spatial data. Han- over Germany, February 22–24.
   Google Scholar