Scalable analysis of multitemporal images using an array database

Detalhes bibliográficos
Autor(a) principal: Joshi, Abhasha
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/34462
Resumo: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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spelling Scalable analysis of multitemporal images using an array databaseArray DatabaseSciDBHigh Performance ComputingRemote SensingMultitemporal ImagesDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesMassive archives of earth observation data are now available and the size of this data is increasing at a tremendous rate. This data is a very important resource and has a variety of applications including monitoring change, forestry application, agricultural application and urban planning. At the same time, they also possess challenge of storage, management, and high computational needs. In this study SciDB, an array-based database is used to store, manage and process multitemporal satellite imagery. The major aim of this study is to investigate the performance of SciDB based scalable solution to run arithmetic operation, simple time series analysis and complex time series analysis on multitemporal satellite imagery. This study provides better insight of SciDB architecture and provides suggestions for better performance in SciDB for remote sensing jobs. The research also compared the performance of time series analysis on SciDB array with file-based analysis using multicore parallelization (Using „Parallel‟ Package of R). It is found that SciDB provides a faster solution for time series analysis. However, SciDB might not be the best solution if the data size is smaller. Also, relative immaturity of SciDB and limited inherent support of remote sensing operations increases effort for the scientist to develop SciDB based solution. Nevertheless, SciDB has the potential to meet the ever increasing storage, management and computational need of big remote sensing data.Pebesma, EdzerHenriques, Roberto André PereiraAppel, MariusRUNJoshi, Abhasha2018-04-13T14:37:23Z2017-03-032017-03-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/34462TID:201898381enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:18:53Zoai:run.unl.pt:10362/34462Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:10.976707Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Scalable analysis of multitemporal images using an array database
title Scalable analysis of multitemporal images using an array database
spellingShingle Scalable analysis of multitemporal images using an array database
Joshi, Abhasha
Array Database
SciDB
High Performance Computing
Remote Sensing
Multitemporal Images
title_short Scalable analysis of multitemporal images using an array database
title_full Scalable analysis of multitemporal images using an array database
title_fullStr Scalable analysis of multitemporal images using an array database
title_full_unstemmed Scalable analysis of multitemporal images using an array database
title_sort Scalable analysis of multitemporal images using an array database
author Joshi, Abhasha
author_facet Joshi, Abhasha
author_role author
dc.contributor.none.fl_str_mv Pebesma, Edzer
Henriques, Roberto André Pereira
Appel, Marius
RUN
dc.contributor.author.fl_str_mv Joshi, Abhasha
dc.subject.por.fl_str_mv Array Database
SciDB
High Performance Computing
Remote Sensing
Multitemporal Images
topic Array Database
SciDB
High Performance Computing
Remote Sensing
Multitemporal Images
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2017
dc.date.none.fl_str_mv 2017-03-03
2017-03-03T00:00:00Z
2018-04-13T14:37:23Z
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/10362/34462
TID:201898381
url http://hdl.handle.net/10362/34462
identifier_str_mv TID:201898381
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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