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dc.contributor.author
Dogliotti, Ana Inés  
dc.contributor.author
Gossn, Juan Ignacio  
dc.contributor.author
Vanhellemont, Quinten  
dc.contributor.author
Ruddick, Kevin G.  
dc.date.available
2019-10-18T13:25:24Z  
dc.date.issued
2018-07  
dc.identifier.citation
Dogliotti, Ana Inés; Gossn, Juan Ignacio; Vanhellemont, Quinten; Ruddick, Kevin G.; Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery; MDPI; Remote Sensing; 10; 7; 7-2018; 1-15  
dc.identifier.issn
2072-4292  
dc.identifier.uri
http://hdl.handle.net/11336/86296  
dc.description.abstract
The massive development of floating plants in floodplain lakes and wetlands in the upper Middle Paraná river in the La Plata basin is environmentally and socioeconomically important. Every year aquatic plant detachments drift downstream arriving in small amounts to the Río de la Plata, but huge temporary invasions have been observed every 10 or 15 years associated to massive floods. From late December 2015, heavy rains driven by a strong El Niño increased river levels, provoking a large temporary invasion of aquatic plants from January to May 2016. This event caused significant disruption of human activities via clogging of drinking water intakes in the estuary, blocking of ports and marinas and introducing dangerous animals from faraway wetlands into the city. In this study, we developed a scheme to map floating vegetation in turbid waters using high-resolution imagery, like Sentinel-2/SMI (MultiSpectral Imager), Landsat-8/OLI (Operational Land Imager), and Aqua/MODIS (MODerate resolution Imager Spectroradiometer)-250 m. A combination of the Floating Algal Index (that make use of the strong signal in the NIR part of the spectrum), plus conditions set on the RED band (to avoid misclassifying highly turbid waters) and on the CIE La*b* color space coordinates (to confirm the visually "green" pixels as floating vegetation) were used. A time-series of multisensor high resolution imagery was analyzed to study the temporal variability, covered area and distribution of the unusual floating macroalgae invasion that started in January 2016 in the Río de la Plata estuary.  
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
AQUA  
dc.subject
AQUATIC MACROPHYTES  
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FLOATING VEGETATION  
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LANDSAT-8  
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RÍO DE LA PLATA  
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SENTINEL-2  
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TURBID WATER  
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Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-17T19:10:44Z  
dc.journal.volume
10  
dc.journal.number
7  
dc.journal.pagination
1-15  
dc.journal.pais
Suiza  
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: Gossn, Juan Ignacio. 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: Vanhellemont, Quinten. Koninklijk Belgisch Instituut Voor Natuurwetenschappen; Bélgica  
dc.description.fil
Fil: Ruddick, Kevin G.. Koninklijk Belgisch Instituut Voor Natuurwetenschappen; Bélgica  
dc.journal.title
Remote Sensing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs10071140  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/10/7/1140