Artículo

Knaeps, E.; Doxaran, D.; Dogliotti, A.; Nechad, B.; Ruddick, K.; Raymaekers, D.; Sterckx, S. "The SeaSWIR dataset" (2018) Earth System Science Data. 10(3):1439-1449
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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).

. © Author(s) 2018.

Registro:

Documento: Artículo
Título:The SeaSWIR dataset
Autor:Knaeps, E.; Doxaran, D.; Dogliotti, A.; Nechad, B.; Ruddick, K.; Raymaekers, D.; Sterckx, S.
Filiación:Flemish Institute for Technological Research (VITO), Mol, 2400, Belgium
Laboratoire d'Océanographie de Villefranche (LOV), Villefranche-sur-Mer, 06230, UMR 7093, CNRS/Sorbonne Université, France
Instituto de Astronomía y Física Del Espacio (IAFE), C1428ZAA, CONICET/UBA, Argentina
Royal Belgian Institute for Natural Sciences (RBINS), Operational Directorate Natural Environments, Brussels, 1200, Belgium
Año:2018
Volumen:10
Número:3
Página de inicio:1439
Página de fin:1449
DOI: http://dx.doi.org/10.5194/essd-10-1439-2018
Título revista:Earth System Science Data
Título revista abreviado:Earth Sys. Sci. Data
ISSN:18663508
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18663508_v10_n3_p1439_Knaeps

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Citas:

---------- APA ----------
Knaeps, E., Doxaran, D., Dogliotti, A., Nechad, B., Ruddick, K., Raymaekers, D. & Sterckx, S. (2018) . The SeaSWIR dataset. Earth System Science Data, 10(3), 1439-1449.
http://dx.doi.org/10.5194/essd-10-1439-2018
---------- CHICAGO ----------
Knaeps, E., Doxaran, D., Dogliotti, A., Nechad, B., Ruddick, K., Raymaekers, D., et al. "The SeaSWIR dataset" . Earth System Science Data 10, no. 3 (2018) : 1439-1449.
http://dx.doi.org/10.5194/essd-10-1439-2018
---------- MLA ----------
Knaeps, E., Doxaran, D., Dogliotti, A., Nechad, B., Ruddick, K., Raymaekers, D., et al. "The SeaSWIR dataset" . Earth System Science Data, vol. 10, no. 3, 2018, pp. 1439-1449.
http://dx.doi.org/10.5194/essd-10-1439-2018
---------- VANCOUVER ----------
Knaeps, E., Doxaran, D., Dogliotti, A., Nechad, B., Ruddick, K., Raymaekers, D., et al. The SeaSWIR dataset. Earth Sys. Sci. Data. 2018;10(3):1439-1449.
http://dx.doi.org/10.5194/essd-10-1439-2018