Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
Murayama, Yuji
Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (304 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2540-2 9783036525419 9783036525402
10.3390/books978-3-0365-2540-2 doi
Research & information: general
Geography
LST urban-rural gradient sub-Saharan region Addis Ababa Ethiopia cellular automata spatial layout transportation infrastructure LUCC spatial patterns spatial differences DMSP-OLS China India landscape pattern industrial rural area rural landscape landscape ecology southern Jiangsu land use and cover land surface temperature built-up land agricultural land gradient analysis Nuwara Eliya Sri Lanka urban public space environment check-in data social media platform point of interest urbanization GIS urban development zones urban sustainability regression analysis GWR fragmentation non-agricultural conversion of rural land urban green space RSEI remote sensing ecological status dynamic motoring Pingtan Island urban land expansion spatial pattern driving forces Pearl River Delta urban agglomeration urban heat island impervious surface area biophysical composition index coastal city Xiamen surface urban heat island MODIS land cover habitat quality spatiotemporal analysis Yangtze River Delta Urban Agglomeration urban planning LULC change transition matrix systematic transition Blantyre city life quality index (LQI) Kandy city AHP MCDM COVID-19 pandemic environmental quality PM10 concentration n/a
Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (304 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2540-2 9783036525419 9783036525402
10.3390/books978-3-0365-2540-2 doi
Research & information: general
Geography
LST urban-rural gradient sub-Saharan region Addis Ababa Ethiopia cellular automata spatial layout transportation infrastructure LUCC spatial patterns spatial differences DMSP-OLS China India landscape pattern industrial rural area rural landscape landscape ecology southern Jiangsu land use and cover land surface temperature built-up land agricultural land gradient analysis Nuwara Eliya Sri Lanka urban public space environment check-in data social media platform point of interest urbanization GIS urban development zones urban sustainability regression analysis GWR fragmentation non-agricultural conversion of rural land urban green space RSEI remote sensing ecological status dynamic motoring Pingtan Island urban land expansion spatial pattern driving forces Pearl River Delta urban agglomeration urban heat island impervious surface area biophysical composition index coastal city Xiamen surface urban heat island MODIS land cover habitat quality spatiotemporal analysis Yangtze River Delta Urban Agglomeration urban planning LULC change transition matrix systematic transition Blantyre city life quality index (LQI) Kandy city AHP MCDM COVID-19 pandemic environmental quality PM10 concentration n/a