Mostrar el registro sencillo del ítem
dc.contributor.author
Doxaran, David
dc.contributor.author
Bustamante, Patricio Javier
dc.contributor.author
Dogliotti, Ana Inés
dc.contributor.author
Malthus, Tim J.
dc.contributor.author
Senechal, Nadia
dc.date.available
2020-03-02T19:08:04Z
dc.date.issued
2019-05
dc.identifier.citation
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
dc.identifier.issn
2072-4292
dc.identifier.uri
http://hdl.handle.net/11336/98650
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
REMOTE SENSING
dc.subject
COASTAL ZONE MONOTORING
dc.subject
MANAGEMENT
dc.subject
SPATIAL AND TEMPORAL SCALES
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.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?"
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-12-11T20:21:26Z
dc.journal.volume
11
dc.journal.number
9
dc.journal.pagination
1-3
dc.journal.pais
Suiza
dc.journal.ciudad
Basilea
dc.description.fil
Fil: Doxaran, David. Laboratoire d’Océanographie de Villefranche; Francia
dc.description.fil
Fil: Bustamante, Patricio Javier. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España
dc.description.fil
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
dc.description.fil
Fil: Malthus, Tim J.. Csiro Oceans And Atmosphere; Australia
dc.description.fil
Fil: Senechal, Nadia. Universite de Bordeaux; Francia
dc.journal.title
Remote Sensing of Environment
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs11091028
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/11/9/1028
Archivos asociados