Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools

Bibliographic Details
Main Author: Tewolde, Mussie Ghebretinsae
Publication Date: 2011
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/8280
Summary: Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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spelling Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial ToolsAsmaraChange DetectioneCognition DefiniensGeospatial toolsImage ClassificationLCMLUCCModelingRemote SensingUrban SprawlDissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Urbanization pattern of Greater Asmara Area for the last two decades (1989 to 2009) and a prediction for the coming ten years was studied. Satellite images and geospatial tools were employed to quantify and analyze the spatiotemporal urban land use changes during the study periods. The principal objective of this thesis was to utilize satellite data, with the application of geospatial and modeling tools for studying urban land use change. In order to achieve this, satellite data for three study periods (1989, 2000 and 2009) have been obtained from USGS. Object-Based Image Analysis (OBIA); and image classification with Nearest Neighbor algorithm in eCognition Developer 8 have been accomplished. In order to assess the validation of the classified LULC maps, Kappa measure of agreement has been used; results were above minimum and acceptable level. ArcGIS and IDRISI Andes have been employed for LUCC quantification; spatiotemporal analysis of the urban land use classes;to examine the land use transitions of the land classes and identify the gains and losses in relation to built up area; and to characterize impacts of the changes. Since, the major concern of the study was urban expansion, the LULC classes were reclassified in to built up and non-built up for further analysis. Urban sprawl has been measured using Shannon Entropy approach; results indicated the urban area has undergone a considerable sprawl. Finally, LCM has been used to develop a model, asses the prediction capacity of the developed model and predict future urban land use change of the GAA. Multi-layer perceptron Neural Network has been used to model the transition potential maps, results were successful to make ‘actual’ prediction with Markov Chain Analyst.Despite the GAA is center of development and its regional economic and social importance, its trend of growth remains the major factor for diminishing productive land and other valuable natural resources. The findings of the study indicated that, in the last twenty years the built up area has tripled in size and impacted the surrounding natural environment. Thus, the findings of this study might support decision making for sustainable urban development of GAA.Pebesma, EdzerPla Bañón, FilibertoCabral, Pedro da Costa BritoKohler, ThomasRUNTewolde, Mussie Ghebretinsae2012-12-03T16:10:45Z2011-02-072011-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/8280enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:11:54Zoai:run.unl.pt:10362/8280Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:42:58.244581Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
title Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
spellingShingle Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
Tewolde, Mussie Ghebretinsae
Asmara
Change Detection
eCognition Definiens
Geospatial tools
Image Classification
LCM
LUCC
Modeling
Remote Sensing
Urban Sprawl
title_short Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
title_full Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
title_fullStr Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
title_full_unstemmed Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
title_sort Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools
author Tewolde, Mussie Ghebretinsae
author_facet Tewolde, Mussie Ghebretinsae
author_role author
dc.contributor.none.fl_str_mv Pebesma, Edzer
Pla Bañón, Filiberto
Cabral, Pedro da Costa Brito
Kohler, Thomas
RUN
dc.contributor.author.fl_str_mv Tewolde, Mussie Ghebretinsae
dc.subject.por.fl_str_mv Asmara
Change Detection
eCognition Definiens
Geospatial tools
Image Classification
LCM
LUCC
Modeling
Remote Sensing
Urban Sprawl
topic Asmara
Change Detection
eCognition Definiens
Geospatial tools
Image Classification
LCM
LUCC
Modeling
Remote Sensing
Urban Sprawl
description Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
publishDate 2011
dc.date.none.fl_str_mv 2011-02-07
2011-02-07T00:00:00Z
2012-12-03T16:10:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/8280
url http://hdl.handle.net/10362/8280
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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