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Exploring land use land cover change to understand urban warming effect in Hanoi inner city, Vietnam

dc.contributor.advisorPla Bañón, Filiberto
dc.contributor.advisorMyint, Soe W.
dc.contributor.advisorCaetano, Mário Sílvio Rochinha de Andrade
dc.contributor.authorDuy, Tran Xuan
dc.date.accessioned2016-07-05T15:39:18Z
dc.date.available2016-07-05T15:39:18Z
dc.date.issued2016-03-07
dc.descriptionDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologiespt_PT
dc.description.abstractRecently, urbanization is occurring rapidly in Hanoi, the second largest city in Vietnam. The process is profoundly reflected in Hanoi inner city where the socio-economic development is faster than in other areas. This has led to the acquisition of agricultural land that in turn, has resulted in land use changes, and subsequently increasing the residential, commercial and industrial land. The transformation between different land use types especially the urban expansion will crucially influence the land surface temperature pattern (LST). This will severely affect to the community in relation to people’s health and energy consumption. Exploring land use land cover (LULC) change to understand urban warming effect is a necessary work for community and local government. The research can be used as a scientific basis for urban planners in urban planning and management as well as to increase the community awareness in urban warming effect. The purpose of this research is to determine and analyze the relationship between LULC change and LST pattern. To achieve the research goal, we need to accomplish a series of specific objectives. First, we perform supervised maximum likelihood classification method and change detection to determine the patterns and rate of change, and land cover and land use transformation within and around Hanoi inner city. Then we explore the relationship between land surface temperature and a) vegetation, b) man-made features, and c) crops land using normalized vegetation, and built-up indices within each LULC type. After that, we employ a Markov chains model to simulate future LULC change using different environmental and planning scenarios. Finally, we apply linear and non- linear regression to predict future urban climate patterns in Hanoi inner city using the predicted land cover and land use change.pt_PT
dc.identifier.tid201182270pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/18409
dc.language.isoengpt_PT
dc.subjectLand use land coverpt_PT
dc.subjectUrban heat islandpt_PT
dc.subjectRegression analysispt_PT
dc.subjectLandsatpt_PT
dc.subjectGeographical Information Systemspt_PT
dc.subjectRemote Sensingpt_PT
dc.subjectSpatial analysispt_PT
dc.titleExploring land use land cover change to understand urban warming effect in Hanoi inner city, Vietnampt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMaster in Geospatial Technologies (Erasmus-Mundus)pt_PT

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