Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coas...

Autores
Doxaran, David; Bustamante, Patricio Javier; Dogliotti, Ana Inés; Malthus, Tim J.; Senechal, Nadia
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Coastal zones are sensitive areas responding at various scales (events to long-term trends) where the monitoring and management of physico-chemical, biological, morphological processes, and fluxes are highly challenging. They are directly aected by anthropization (urbanization, industrialization, agri- and aquaculture) and climate change (e.g., river discharges, waves, sea-level rise). Coastal waters only represent 15% of the global ocean, but concentrate 90% of commercial fisheries, contribute to 25% of global biological productivity, and represent 80% of the marine biodiversity, while being associated with an intensive tourism-related economy. The monitoring and management of coastal zones require past, present, and future observations adapted to quite diverse and dynamic environments. To complement field measurements, the use of remote sensing data provides useful information to map the hydromorphological (freshwater discharge, currents, shoreline evolution), physico-chemical (water transparency, temperature, salinity, oxygen, nutrients, and pollutants), and biological (habitats, phytoplankton blooms) properties of the coastal zones. This special issue highlights how the monitoring of coastal zones benefits from both long-term (~40 years) and recent capabilities of remote sensing observations. It also provides new methodologies to optimize the combined use of multi-mission satellite/airborne data and field measurements for an integrated approach. Considering dierent types of coastal environments (bays, estuaries, sandy and muddy systems), several key land and water quality (vegetation, temperature, concentrations of suspended particulate matter and polychlorinated biphenyl, aquatic plants) and morphological (shorelines, mudbanks, wetlands) parameters can be remotely sensed at various spatial and temporal scales, using innovative methods and providing validated products.
Fil: Doxaran, David. Laboratoire d’Océanographie de Villefranche; Francia
Fil: Bustamante, Patricio Javier. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Malthus, Tim J.. Csiro Oceans And Atmosphere; Australia
Fil: Senechal, Nadia. Universite de Bordeaux; Francia
Materia
REMOTE SENSING
COASTAL ZONE MONOTORING
MANAGEMENT
SPATIAL AND TEMPORAL SCALES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/98650
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/98650
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"Doxaran, DavidBustamante, Patricio JavierDogliotti, Ana InésMalthus, Tim J.Senechal, NadiaREMOTE SENSINGCOASTAL ZONE MONOTORINGMANAGEMENTSPATIAL AND TEMPORAL SCALEShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Coastal zones are sensitive areas responding at various scales (events to long-term trends) where the monitoring and management of physico-chemical, biological, morphological processes, and fluxes are highly challenging. They are directly aected by anthropization (urbanization, industrialization, agri- and aquaculture) and climate change (e.g., river discharges, waves, sea-level rise). Coastal waters only represent 15% of the global ocean, but concentrate 90% of commercial fisheries, contribute to 25% of global biological productivity, and represent 80% of the marine biodiversity, while being associated with an intensive tourism-related economy. The monitoring and management of coastal zones require past, present, and future observations adapted to quite diverse and dynamic environments. To complement field measurements, the use of remote sensing data provides useful information to map the hydromorphological (freshwater discharge, currents, shoreline evolution), physico-chemical (water transparency, temperature, salinity, oxygen, nutrients, and pollutants), and biological (habitats, phytoplankton blooms) properties of the coastal zones. This special issue highlights how the monitoring of coastal zones benefits from both long-term (~40 years) and recent capabilities of remote sensing observations. It also provides new methodologies to optimize the combined use of multi-mission satellite/airborne data and field measurements for an integrated approach. Considering dierent types of coastal environments (bays, estuaries, sandy and muddy systems), several key land and water quality (vegetation, temperature, concentrations of suspended particulate matter and polychlorinated biphenyl, aquatic plants) and morphological (shorelines, mudbanks, wetlands) parameters can be remotely sensed at various spatial and temporal scales, using innovative methods and providing validated products.Fil: Doxaran, David. Laboratoire d’Océanographie de Villefranche; FranciaFil: Bustamante, Patricio Javier. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; EspañaFil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Malthus, Tim J.. Csiro Oceans And Atmosphere; AustraliaFil: Senechal, Nadia. Universite de Bordeaux; FranciaMDPI2019-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98650Doxaran, David; Bustamante, Patricio Javier; Dogliotti, Ana Inés; Malthus, Tim J.; Senechal, Nadia; Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"; MDPI; Remote Sensing of Environment; 11; 9; 5-2019; 1-32072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/rs11091028info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/11/9/1028info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:44:20Zoai:ri.conicet.gov.ar:11336/98650instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:44:20.676CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
title Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
spellingShingle Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
Doxaran, David
REMOTE SENSING
COASTAL ZONE MONOTORING
MANAGEMENT
SPATIAL AND TEMPORAL SCALES
title_short Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
title_full Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
title_fullStr Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
title_full_unstemmed Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
title_sort Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
dc.creator.none.fl_str_mv Doxaran, David
Bustamante, Patricio Javier
Dogliotti, Ana Inés
Malthus, Tim J.
Senechal, Nadia
author Doxaran, David
author_facet Doxaran, David
Bustamante, Patricio Javier
Dogliotti, Ana Inés
Malthus, Tim J.
Senechal, Nadia
author_role author
author2 Bustamante, Patricio Javier
Dogliotti, Ana Inés
Malthus, Tim J.
Senechal, Nadia
author2_role author
author
author
author
dc.subject.none.fl_str_mv REMOTE SENSING
COASTAL ZONE MONOTORING
MANAGEMENT
SPATIAL AND TEMPORAL SCALES
topic REMOTE SENSING
COASTAL ZONE MONOTORING
MANAGEMENT
SPATIAL AND TEMPORAL SCALES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Coastal zones are sensitive areas responding at various scales (events to long-term trends) where the monitoring and management of physico-chemical, biological, morphological processes, and fluxes are highly challenging. They are directly aected by anthropization (urbanization, industrialization, agri- and aquaculture) and climate change (e.g., river discharges, waves, sea-level rise). Coastal waters only represent 15% of the global ocean, but concentrate 90% of commercial fisheries, contribute to 25% of global biological productivity, and represent 80% of the marine biodiversity, while being associated with an intensive tourism-related economy. The monitoring and management of coastal zones require past, present, and future observations adapted to quite diverse and dynamic environments. To complement field measurements, the use of remote sensing data provides useful information to map the hydromorphological (freshwater discharge, currents, shoreline evolution), physico-chemical (water transparency, temperature, salinity, oxygen, nutrients, and pollutants), and biological (habitats, phytoplankton blooms) properties of the coastal zones. This special issue highlights how the monitoring of coastal zones benefits from both long-term (~40 years) and recent capabilities of remote sensing observations. It also provides new methodologies to optimize the combined use of multi-mission satellite/airborne data and field measurements for an integrated approach. Considering dierent types of coastal environments (bays, estuaries, sandy and muddy systems), several key land and water quality (vegetation, temperature, concentrations of suspended particulate matter and polychlorinated biphenyl, aquatic plants) and morphological (shorelines, mudbanks, wetlands) parameters can be remotely sensed at various spatial and temporal scales, using innovative methods and providing validated products.
Fil: Doxaran, David. Laboratoire d’Océanographie de Villefranche; Francia
Fil: Bustamante, Patricio Javier. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Malthus, Tim J.. Csiro Oceans And Atmosphere; Australia
Fil: Senechal, Nadia. Universite de Bordeaux; Francia
description Coastal zones are sensitive areas responding at various scales (events to long-term trends) where the monitoring and management of physico-chemical, biological, morphological processes, and fluxes are highly challenging. They are directly aected by anthropization (urbanization, industrialization, agri- and aquaculture) and climate change (e.g., river discharges, waves, sea-level rise). Coastal waters only represent 15% of the global ocean, but concentrate 90% of commercial fisheries, contribute to 25% of global biological productivity, and represent 80% of the marine biodiversity, while being associated with an intensive tourism-related economy. The monitoring and management of coastal zones require past, present, and future observations adapted to quite diverse and dynamic environments. To complement field measurements, the use of remote sensing data provides useful information to map the hydromorphological (freshwater discharge, currents, shoreline evolution), physico-chemical (water transparency, temperature, salinity, oxygen, nutrients, and pollutants), and biological (habitats, phytoplankton blooms) properties of the coastal zones. This special issue highlights how the monitoring of coastal zones benefits from both long-term (~40 years) and recent capabilities of remote sensing observations. It also provides new methodologies to optimize the combined use of multi-mission satellite/airborne data and field measurements for an integrated approach. Considering dierent types of coastal environments (bays, estuaries, sandy and muddy systems), several key land and water quality (vegetation, temperature, concentrations of suspended particulate matter and polychlorinated biphenyl, aquatic plants) and morphological (shorelines, mudbanks, wetlands) parameters can be remotely sensed at various spatial and temporal scales, using innovative methods and providing validated products.
publishDate 2019
dc.date.none.fl_str_mv 2019-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/98650
Doxaran, David; Bustamante, Patricio Javier; Dogliotti, Ana Inés; Malthus, Tim J.; Senechal, Nadia; Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"; MDPI; Remote Sensing of Environment; 11; 9; 5-2019; 1-3
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98650
identifier_str_mv Doxaran, David; Bustamante, Patricio Javier; Dogliotti, Ana Inés; Malthus, Tim J.; Senechal, Nadia; Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"; MDPI; Remote Sensing of Environment; 11; 9; 5-2019; 1-3
2072-4292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11091028
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/11/9/1028
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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