Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries

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 an...

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collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
publishDate 2022
publishDateRange 2022
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-770822024-03-28T03:31:37Z Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries Murayama, Yuji Simwanda, Matamyo Ranagalage, Manjula 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography 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. 2022-01-11T13:51:38Z 2022-01-11T13:51:38Z 2021 book ONIX_20220111_9783036525419_914 9783036525419 9783036525402 https://directory.doabooks.org/handle/20.500.12854/77082 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4701 https://mdpi.com/books/pdfview/book/4701 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2540-2 10.3390/books978-3-0365-2540-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036525419 9783036525402 304 Basel, Switzerland open access
spellingShingle 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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
title Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
title_full Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
title_fullStr Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
title_full_unstemmed Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
title_short Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
title_sort spatio temporal analysis of urbanization using gis and remote sensing in developing countries
topic 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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
topic_facet 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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
url ONIX_20220111_9783036525419_914