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dc.contributor.author
Knaeps, Els
dc.contributor.author
Doxaran, David
dc.contributor.author
Dogliotti, Ana Inés
dc.contributor.author
Nechad, Bouchra
dc.contributor.author
Ruddick, K.
dc.contributor.author
Raymaekers, D.
dc.contributor.author
Sterckx, Sindy
dc.date.available
2019-07-31T14:47:24Z
dc.date.issued
2018-08
dc.identifier.citation
Knaeps, Els; Doxaran, David; Dogliotti, Ana Inés; Nechad, Bouchra; Ruddick, K.; et al.; The SeaSWIR dataset; Copernicus GmbH; Earth System Science Data; 10; 3; 8-2018; 1439-1449
dc.identifier.issn
1866-3516
dc.identifier.uri
http://hdl.handle.net/11336/80658
dc.description.abstract
The SeaSWIR dataset consists of 137 ASD (Analytical Spectral Devices, Inc.) marine reflectances, 137 total suspended matter (TSM) measurements and 97 turbidity measurements gathered at three turbid estuarine sites (Gironde, La Plata, Scheldt). The dataset is valuable because of the high-quality measurements of the marine reflectance in the Short Wave InfraRed I region (SWIR-I: 1000-1200 nm) and SWIR-II (1200-1300 nm) and because of the wide range of TSM concentrations from 48 up to 1400 mgĝ€†Lĝ'1. The ASD measurements were gathered using a detailed measurement protocol and were subjected to a strict quality control. The SeaSWIR marine reflectance is characterized by low reflectance at short wavelengths ( < 450 nm), peak reflectance values between 600 and 720 nm and significant contributions in the near-infrared (NIR) and SWIR-I parts of the spectrum. Comparison of the ASD water reflectance with simultaneously acquired reflectance from a three-radiometer system revealed a correlation of 0.98 for short wavelengths (412, 490 and 555 nm) and 0.93 for long wavelengths (686, 780 and 865 nm). The relationship between TSM and turbidity (for all sites) is linear, with a correlation coefficient of 0.96. The SeaSWIR dataset has been made publicly available (https://doi.org/10.1594/PANGAEA.886287)..
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Copernicus GmbH
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Seaswir Database
dc.subject
Río de La Plata
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Gironde
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Scheldt
dc.subject.classification
Meteorología y Ciencias Atmosféricas
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
The SeaSWIR dataset
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-07-29T14:51:24Z
dc.journal.volume
10
dc.journal.number
3
dc.journal.pagination
1439-1449
dc.journal.pais
Alemania
dc.journal.ciudad
Berlin
dc.description.fil
Fil: Knaeps, Els. Flemish Institute For Technological Research (vito); Bélgica
dc.description.fil
Fil: Doxaran, David. Laboratoire D'océanographie de Villefranche (lov); Francia
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: Nechad, Bouchra. Royal Belgian Institute For Natural Sciences (rbins); Bélgica
dc.description.fil
Fil: Ruddick, K.. Royal Belgian Institute For Natural Sciences (rbins); Bélgica
dc.description.fil
Fil: Raymaekers, D.. Flemish Institute For Technological Research (vito); Bélgica
dc.description.fil
Fil: Sterckx, Sindy. Flemish Institute For Technological Research (vito); Bélgica
dc.journal.title
Earth System Science Data
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.earth-syst-sci-data.net/10/1439/2018/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5194/essd-10-1439-2018
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