Land cover mapping analysis and urban growth modeling using remote sensing techniques : case study : Greater Cairo Region - Egypt
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Título
Land cover mapping analysis and urban growth modeling using remote sensing techniques : case study : Greater Cairo Region - EgyptAutoría
Tutor/Supervisor
Pla Bañón, FilibertoTutor/Supervisor; Universidad.Departamento
Universitat Jaume I. Departament de Llenguatges i Sistemes InformàticsFecha de publicación
2015Editor
Universitat Jaume IResumen
The rapid growth of big cities has been noticed since 1950s when the majority of world population
turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of
services ... [+]
The rapid growth of big cities has been noticed since 1950s when the majority of world population
turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of
services and lifestyle circumstances. This demographic transition from rural to urban is expected to have
a continuous increase. Governments, especially in less developed countries, are going to face more
challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for
an effective urban planning.
The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one
of the fast growing mega cities in the world using remote sensing data. Knowing the current and
estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and
develop new ones. These plans should focus on resources reallocation to overcome the problems arising
in the future and to achieve a sustainable development of urban areas, especially after the high
percentage of illegal settlements which took place in the last decades.
The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were
modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984,
2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover
changes were detected by applying a high level mapping technique. Later the results were analyzed for
higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler
(LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were
analyzed using statistical metrics developed in FRAGSTATS software.
The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and
2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of
desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes
were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the
vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687
hectares, respectively [-]
Palabras clave / Materias
Màster Universitari Erasmus Mundus en Tecnologia Geoespacial | Erasmus Mundus University Master's Degree in Geospatial Technologies | Máster Universitario Erasmus Mundus en Tecnología Geoespacial | Urbanización | Mapas de zonificación | Zoning maps | Urbanization | Urbanització | Zonificació | Mapes
Descripción
Màster Universitari en Tecnologia Geoespacial/Geospatial Technologies. Codi: SIK013. Curs: 2014/2015
Tipo de documento
info:eu-repo/semantics/masterThesisDerechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess