Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries

• Main Authors: 村山, 祐司, Simwanda, Matamyo, Ranagalage, Manjula
• Format: eBook Book
• Language: English
• Published: Basel MDPI 2021; MDPI - Multidisciplinary Digital Publishing Institute
• Subjects: Addis Ababa; agricultural land; AHP; biophysical composition index; Blantyre city; built-up land; cellular automata; check-in data; China; coastal city; COVID-19 pandemic; DMSP-OLS; driving forces; dynamic motoring; Earth Sciences, Geography, Environment, Planning; ecological status; environment; environmental quality; Ethiopia; fragmentation; Geography; GIS; gradient analysis; GWR; habitat quality; impervious surface area; India; industrial rural area; Kandy city; land cover; land surface temperature; land use and cover; landscape ecology; landscape pattern; life quality index (LQI); LST; LUCC; LULC change; MCDM; MODIS; n/a; non-agricultural conversion of rural land; Nuwara Eliya; Pearl River Delta; Pingtan Island; PM10 concentration; point of interest; Reference, Information and Interdisciplinary subjects; regression analysis; remote sensing; Research and information: general; RSEI; rural landscape; social media platform; southern Jiangsu; spatial differences; spatial layout; spatial pattern; spatial patterns; spatiotemporal analysis; Sri Lanka; sub-Saharan region; surface urban heat island; systematic transition; transition matrix; transportation infrastructure; urban agglomeration; urban development zones; urban green space; urban heat island; urban land expansion; urban planning; urban public space; urban sustainability; urban-rural gradient; urbanization; Xiamen; Yangtze River Delta Urban Agglomeration
• ISBN: 3036525416; 9783036525419; 3036525408; 9783036525402
• DOI: 10.3390/books978-3-0365-2540-2

Over the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities.