Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.

Detalhes bibliográficos
Autor(a) principal: Abdi, Abdulhakim Mohamed
Data de Publicação: 2010
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/6089
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.Agricultural intensificationCorn buntingLandsatLogistic regressionSpecies distribution modelingDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesTwenty-five years after the implementation of the Birds Directive in 1979, Europe‟s farmland bird species and long-distance migrants continue to decrease at an alarming rate. Farmland supports more bird species of conservation concern than any other habitat in Europe. Therefore, it is imperative to understand farmland species‟ relationship with their habitats. Bird conservation requires spatial information; this understanding not only serves as a check on the individual species‟ populations, but also as a measure of the overall health of the ecosystem as birds are good indicators of the state of the environment. The target species in this study is the corn bunting Miliaria calandra, a bird whose numbers in northern and central Europe have declined sharply since the mid-1970s. This study utilizes public domain data, namely Landsat imagery and CORINE land cover, along with the corn bunting‟s presence-absence data, to create a predictive distribution map of the species based on habitat preference. Each public domain dataset was preprocessed to extract predictor variables. Predictive models were built in R using logistic regression.(...)Pebesma, EdzerCabral, Pedro da Costa BritoCaetano, Mário Sílvio Rochinha de AndradePla Bañón, FilibertoRUNAbdi, Abdulhakim Mohamed2011-09-05T14:51:46Z2010-02-082010-02-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/6089enginfo: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:RCAAP2024-03-11T03:37:04Zoai:run.unl.pt:10362/6089Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:16:42.101970Repositório 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 Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
title Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
spellingShingle Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
Abdi, Abdulhakim Mohamed
Agricultural intensification
Corn bunting
Landsat
Logistic regression
Species distribution modeling
title_short Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
title_full Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
title_fullStr Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
title_full_unstemmed Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
title_sort Investigating habitat association of breeding birds using public domain satellite imagery and land cover data.
author Abdi, Abdulhakim Mohamed
author_facet Abdi, Abdulhakim Mohamed
author_role author
dc.contributor.none.fl_str_mv Pebesma, Edzer
Cabral, Pedro da Costa Brito
Caetano, Mário Sílvio Rochinha de Andrade
Pla Bañón, Filiberto
RUN
dc.contributor.author.fl_str_mv Abdi, Abdulhakim Mohamed
dc.subject.por.fl_str_mv Agricultural intensification
Corn bunting
Landsat
Logistic regression
Species distribution modeling
topic Agricultural intensification
Corn bunting
Landsat
Logistic regression
Species distribution modeling
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2010
dc.date.none.fl_str_mv 2010-02-08
2010-02-08T00:00:00Z
2011-09-05T14:51:46Z
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/10362/6089
url http://hdl.handle.net/10362/6089
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)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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