Remote sensing technologies for the assessment of marine and coastal ecosystems
Main Author: | |
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Publication Date: | 2016 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.5/13096 |
Summary: | Abstract 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 ecosystemscoastal ecosystemmarine ecosystemremote sensingAbstract 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 diversitySpringerRepositório da Universidade de LisboaGutierres, FranciscoTeodoro, Ana CláudiaReis, EusébioNeto, CarlosCosta, José Carlos2017-02-01T15:51:52Z20162016-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.5/13096enginfo: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:RCAAP2025-03-17T16:02:25Zoai:repositorio.ulisboa.pt:10400.5/13096Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:00:58.976074Repositórios 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 |
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 coastal ecosystem marine ecosystem remote sensing |
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 |
coastal ecosystem marine ecosystem remote sensing |
topic |
coastal ecosystem marine ecosystem remote sensing |
description |
Abstract 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 2017-02-01T15:51:52Z |
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/10400.5/13096 |
url |
http://hdl.handle.net/10400.5/13096 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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