Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/46872 |
Resumo: | This chapter reviews the Remote Sensing (RS) technologies that are particularly appropriate for marine and coastal ecosystem research and management. RS techniques are used to perform analysis of water quality in coastal water bodies; to identify, characterize and analyze river plumes; to extract estuarine/coastal sandy bodies; to identify beach features/patterns; and to evaluate the changes and integrity (health) of the coastal lagoon habitats. For effective management of these ecosystems, it is essential to have satellite data available and complementary accurate information about the current state of the coastal regions, in addition to well-informed forecasts about its future state. In recent years, the use of space, air and ground-based RS strategies has allowed for the rapid data collection, Image processing (Pixel-Based and Object-Based Image Analysis (OBIA) classification) and dissemination of such information to reduce vulnerability to natural hazards, anthropic pressures, and to monitoring essential ecological processes, life support systems and biological diversity. |
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Remote Sensing Technologies for the Assessment of Marine and Coastal EcosystemsNormalize Difference Vegetation IndexRemotely Sense Dataremotely SenseRiver PlumeTotal Suspend MatterRemotely Sense Dataremotely Sense DataThis chapter reviews the Remote Sensing (RS) technologies that are particularly appropriate for marine and coastal ecosystem research and management. RS techniques are used to perform analysis of water quality in coastal water bodies; to identify, characterize and analyze river plumes; to extract estuarine/coastal sandy bodies; to identify beach features/patterns; and to evaluate the changes and integrity (health) of the coastal lagoon habitats. For effective management of these ecosystems, it is essential to have satellite data available and complementary accurate information about the current state of the coastal regions, in addition to well-informed forecasts about its future state. In recent years, the use of space, air and ground-based RS strategies has allowed for the rapid data collection, Image processing (Pixel-Based and Object-Based Image Analysis (OBIA) classification) and dissemination of such information to reduce vulnerability to natural hazards, anthropic pressures, and to monitoring essential ecological processes, life support systems and biological diversity.SpringerRepositório da Universidade de LisboaGutierres, FranciscoTeodoro, Ana CláudiaReis, EusébioNeto, CarlosCosta, José Carlos2021-03-17T11:41:59Z20162016-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10451/46872engGutierres F., Teodoro A.C., Reis E., Neto C., Costa J.C. (2016) Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems. In: Finkl C., Makowski C. (eds) Seafloor Mapping along Continental Shelves. Coastal Research Library, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-25121-9_3978-3-319-25119-610.1007/978-3-319-25121-9_3metadata only accessinfo: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:RCAAP2024-11-20T18:04:49Zoai:repositorio.ul.pt:10451/46872Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T18:04:49Repositório 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 |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
title |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
spellingShingle |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems Gutierres, Francisco Normalize Difference Vegetation Index Remotely Sense Dataremotely Sense River Plume Total Suspend Matter Remotely Sense Dataremotely Sense Data |
title_short |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
title_full |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
title_fullStr |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
title_full_unstemmed |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
title_sort |
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems |
author |
Gutierres, Francisco |
author_facet |
Gutierres, Francisco Teodoro, Ana Cláudia Reis, Eusébio Neto, Carlos Costa, José Carlos |
author_role |
author |
author2 |
Teodoro, Ana Cláudia Reis, Eusébio Neto, Carlos Costa, José Carlos |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Gutierres, Francisco Teodoro, Ana Cláudia Reis, Eusébio Neto, Carlos Costa, José Carlos |
dc.subject.por.fl_str_mv |
Normalize Difference Vegetation Index Remotely Sense Dataremotely Sense River Plume Total Suspend Matter Remotely Sense Dataremotely Sense Data |
topic |
Normalize Difference Vegetation Index Remotely Sense Dataremotely Sense River Plume Total Suspend Matter Remotely Sense Dataremotely Sense Data |
description |
This chapter reviews the Remote Sensing (RS) technologies that are particularly appropriate for marine and coastal ecosystem research and management. RS techniques are used to perform analysis of water quality in coastal water bodies; to identify, characterize and analyze river plumes; to extract estuarine/coastal sandy bodies; to identify beach features/patterns; and to evaluate the changes and integrity (health) of the coastal lagoon habitats. For effective management of these ecosystems, it is essential to have satellite data available and complementary accurate information about the current state of the coastal regions, in addition to well-informed forecasts about its future state. In recent years, the use of space, air and ground-based RS strategies has allowed for the rapid data collection, Image processing (Pixel-Based and Object-Based Image Analysis (OBIA) classification) and dissemination of such information to reduce vulnerability to natural hazards, anthropic pressures, and to monitoring essential ecological processes, life support systems and biological diversity. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2016-01-01T00:00:00Z 2021-03-17T11:41:59Z |
dc.type.driver.fl_str_mv |
book part |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/46872 |
url |
http://hdl.handle.net/10451/46872 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gutierres F., Teodoro A.C., Reis E., Neto C., Costa J.C. (2016) Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems. In: Finkl C., Makowski C. (eds) Seafloor Mapping along Continental Shelves. Coastal Research Library, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-25121-9_3 978-3-319-25119-6 10.1007/978-3-319-25121-9_3 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
mluisa.alvim@gmail.com |
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1817549128422391808 |