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dc.contributorPla Bañón, Filiberto
dc.contributor.authorThapa, Sushil
dc.contributor.otherUniversitat Jaume I. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2017-03-31T06:55:15Z
dc.date.available2017-03-31T06:55:15Z
dc.date.issued2017-03-03
dc.identifier.urihttp://hdl.handle.net/10234/167031
dc.descriptionTreball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2016-2017ca_CA
dc.description.abstractKathmandu is experiencing rapid urban growth since last few decades. Cities are expanding across the countryside at the expense of productive land. Such urban sprawl has incurred adverse environmental consequences affecting quality of life of urban residents in the valley. Recently, Kathmandu has been identified to be on the verge of climate change, especially in the context of urban warming. Thus exploring the impact of urban growth on land surface temperature could be an effective means to unveil environmental issues caused by anthropogenic activities. This can be useful for the urban planners in urban planning and management as well as to raise public awareness regarding urban warming effect. Advancement in thermal Remote Sensing, GIS and statistical procedure has enabled monitoring land surface temperature and its correlation to land use and land cover. To analyze such relationship, we performed supervised classification and change detection to determine the spatial trend of land use and land cover change. After that we obtained the spatial pattern of LST using thermal band of Landsat images. Then we applied regression analysis to explore the relationship between surface temperature and land surface characteristics including both land use land cover types and land use and land cover indices. Based upon our analysis, we found that urban area has increased considerably by 259% during the period 1988-2014. The surface temperatures were found to be greater for bare soil and urban land use types. The regression analysis showed positive correlation between urban growth and LST. Finally we found LULC indices based approach better than LULC class for LST prediction.ca_CA
dc.format.extent65 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherUniversitat Jaume Ica_CA
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectMàster Universitari Erasmus Mundus en Tecnologia Geoespacialca_CA
dc.subjectErasmus Mundus University Master's Degree in Geospatial Technologiesca_CA
dc.subjectMáster Universitario Erasmus Mundus en Tecnología Geoespacialca_CA
dc.subjectLand Surface Temperatureca_CA
dc.subjectLand use land coverca_CA
dc.subjectLansadtca_CA
dc.subjectRegression analysisca_CA
dc.subjectThermal Remote Sensingca_CA
dc.subjectUrban Heat Islandca_CA
dc.subjectUrban fragmentationca_CA
dc.subjectUrban Growthca_CA
dc.titleExploring the impact of urban growth on land surface temperature of Kathmandu Valley, Nepalca_CA
dc.typeinfo:eu-repo/semantics/masterThesisca_CA
dc.educationLevelEstudios de Postgradoca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA


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