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Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries / Yuji Murayama (2021)  

Public Titre : Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries Type de document : Monographie Auteurs : Yuji Murayama, Éditeur scientifique ; Matamyo Simwanda, Éditeur scientifique ; Manjula Ranagalage, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 327 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-2540-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] Chine [Termes IGN] croissance urbaine [Termes IGN] ilot thermique urbain [Termes IGN] image satellite [Termes IGN] occupation du sol [Termes IGN] pays en développement [Termes IGN] planification urbaine [Termes IGN] système d'information géographique [Termes IGN] urbanisation [Termes IGN] ville durable Résumé : (éditeur) 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. Note de contenu : 1- A cellular automata model constrained by spatiotemporal heterogeneity of the urban development strategy for simulating land-use change: A case study in Nanjing City, China 2- Remote sensing-based analysis of landscape pattern evolution in industrial rural areas: A case of southern Jiangsu, China 3- Spatial-temporal dynamic analysis of land use and landscape pattern in Guangzhou, China: Exploring the driving forces from an urban sustainability perspective 4- Quantitative influence of land-use changes and urban expansion intensity on landscape pattern in Qingdao, China: Implications for urban sustainability 5- An analysis of urban land use/land cover changes in Blantyre City, Southern Malawi (1994–2018) 6- Spatiotemporal patterns and driving forces of urban expansion in coastal areas: A study on urban agglomeration in the Pearl River Delta, China 7- Spatiotemporal patterns and drivers of the surface urban heat island in 36 major cities in China: A comparison of two different methods for delineating rural areas 8- The impacts of the expansion of urban impervious surfaces on urban heat islands in a coastal city in China 9- The impacts of landscape changes on annual mean land surface temperature in the tropical mountain city of Sri Lanka: A case study of Nuwara Eliya (1996–2017) 10- Impact of landscape structure on the variation of land surface temperature in Sub-Saharan region: A case study of Addis Ababa using Landsat data (1986–2016) 11- Analysis of life quality in a tropical mountain city using a multi-criteria geospatial technique: A case study of Kandy City, Sri Lanka 12- Spatiotemporal analysis of the nonlinear negative relationship between urbanization and habitat quality in metropolitan areas 13- Dynamic monitoring and analysis of ecological quality of Pingtan comprehensive experimental zone, a new type of Sea Island City, based on RSEI 14- Role of urban public space and the surrounding environment in promoting sustainable development from the lens of social media 15- Comparison on multi-scale urban expansion derived from nightlight imagery between China and India 16- Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approach Numéro de notice : 28675 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2540-2 En ligne : https://doi.org/10.3390/books978-3-0365-2540-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99923