Study on Changes of Land Use impacting the Process of Urbanization, by Using Landsat Data in African Regions: A Case Study in Kigali, Rwanda
Human activities on land use make the land-cover gradually change or transit. In this study, we examined the use of Landsat TM data to detect the land use change of Kigali between 1987 and 2009 using remote sensing techniques and analysis of data using ENVI and ArcGIS, a GIS software. Six different categories of land use were distinguished: bare soil, built up land, wetland, water, vegetation, and others. With remote sensing techniques, we analyzed land use data in 1987, 1999 and 2009, changed areas were found and a dynamic situation of land use in Kigali city was found during the 22 years studied. According to relevant Landsat data, the research focused on land use change in accordance with the role of remote sensing in the process of urbanization. The result of the work has shown the rapid increase of built up land between 1987 and 1999 and a big decrease of vegetation caused by the rebuild of the city after the 1994 genocide, while in the period of 1999 to 2009 there was a reduction in built up land and vegetation, after the authority of Kigali city established, a Master Plan where all constructions which were not in the range of the master Plan were destroyed. Rwanda's capital, Kigali City, through the expansion of the urban area, it is increasing the internal employment rate and attracts business investors and the service sector to improve their economy, which will increase the population growth and provide a better life. The overall planning of the city of Kigali considers the environment, land use, infrastructure, cultural and socio-economic factors, the economic development and population forecast, urban development, and constraints specification. To achieve the above purpose, the Government has set for the overall planning of city Kigali, different stages of the detailed description of the design, strategy and action plan that would guide Kigali planners and members of the public in the future to have more detailed regional plans and practical measures. Thus, land use change is significantly the performance of Kigali active human area, which plays an important role for the country to take certain decisions. Another area to take into account is the natural situation of Kigali city. Agriculture in the region does not occupy a dominant position, and with the population growth and socio-economic development, the construction area will gradually rise and speed up the process of urbanization. Thus, as a developing country, Rwanda's population continues to grow and there is low rate of utilization of land, where urbanization remains low. As mentioned earlier, the 1994 genocide massacres, population growth and urbanization processes, have been the factors driving the dramatic changes in land use. The focus on further research would be on analysis of Rwanda’s natural resources, social and economic factors that could be, the driving force of land use change.
 Yan Yun-peng, He Zheng-min, Li Jian-cun, et al. Monitoring and Analysis of Land Use Change in Beijing Area (J). Remote Sensing of Land Resources 2008, (1): 64-67.
 Zhang You-shui, Xu Cai-jiang, Li Zhi-yong. Study on land use change monitoring in Shaoxing area based on TM image (J). Resource science, 2006, 6(28): 120-126. 2006, 6(28): 120-126.
 Kalnay E, Ming C. Impact of urbanization and land-use change on climate (J). Nature, 2003: 423, 528-531.
 Storck P, Bowling L, Wetherbee P, et al. Application of a GIS-based distributed hydrology model for prediction of forest harvest effects on peak stream flow in the Pacific Northwest (J). Hydrological Processes, 1998, 12(6): 889-904.
 Rose S, Peters NE. Effects of urbanization on stream flow in the Atlanta area (Georgia, USA): a comparative hydrological approach (J). Hydrological Processes, 2001, 8(15): 1441-1457.
 Werth D, Avissar R. The local and global effects of African deforestation (J). Geophysical Research Letters, 2005, 32(12), doi: 10.1029/2005GL022969.
 Pimm SL, Raven P. Biodiversity: Extinction by numbers (J). Nature, 2000, 403: 843-845.
 Sala OE, Chapin FSI, Armesto JJ, et al. Global biodiversity scenarios for the year 2100(J). Science, 2000, 10(287): 1770-1774. 7
 Vorosmarty CJ, Green P, Salisbury J, et al. Global water resources: vulnerability from climate change and population growth (J). Science, 2000, 14(289): 284-288.
 Baulies X, Szejwach G. LUCC data requirements workshop survey of needs, gaps and priorities on data for land-use/land-cover change research(C). IGBP/IHDP-LUCC AND IGBP-DIS, 1998, LUCC report series, 3.
 Gao Zhen-yu, Wu Xue-yu, Fan Qing-dong, et al.Study on the Problems in Dynamic Monitoring of Land Use Based on Remote Sensing (J). Remote sensing of land resources 2011, 3: 20-24.
 Loveland TR, Sohl T, Sayler K. Land cover trends: rates, causes, and consequences of late-twentieth century U.S. land cover change(C). U.S. Environmental Protection Agency, Washington, DC, 2000, EPA/600/R-99/105 (NTIS PB2001-100348).
 United Nations Environment Programme. Global environmental outlook 3: past, present and future perspectives (M). United Nations Environment Programme, 2002.
 Sivakumar MVK, Ndiang'Ui N. Climate and land degradation (M). Springer-Verlag Berlin Heidelberg, 2007.
 Kahsay B. Land use and Land cover changes in the central highlands of Ethiopia: The case of Year Mountain and its surroundings (M). Addis Ababa University. 2004.
 Gisladottir G, Stocking M. Land degradation control and its global environmental benefits (J). Land Degradation and Development, 2005, 16(2): 99-112.
 Redman CL, Foster DR. Agrarian landscapes in transition: Comparisons of long-term ecological and cultural change (M). New York, Oxford University Press, 2008.
 Antrop M. Changing patterns in the urbanized countryside of Western Europe(J). Landscape Ecology, 2004, 3(15): 257-270.
 Sherbinin A de. Land-Use and Land-Cover Change(C). A CIESIN Thematic Guides, Palisades, NY, 2002.
 Wang Yan, SHU Ning.Study on Detection Method of Land Use Change by High Resolution Remote Sensing Image (J). Remote sensing of land resources, 2012, 1: 43-47.
 May J. Policies on population, land use and environment in Rwanda (J). Population and Environment, 1995, 16 (4): 321-334.
 Chavez PS. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data (J). Remote Sensing of Environment, 1998, 3(24): 459-479.
 Chander G, Markham B. Revised Landsat-5 TM radiometric calibration procedures and post calibration dynamic ranges (J). IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(11): 2674-2677.
 Rwanda Ministry of Infrastructure. Kigali Conceptual Master Plan. 2007.