Dataset of optical and biogeochemical properties of diverse Belgian inland and coastal waters ...

This dataset contains paired optical and biogeochemical properties sampled in the Belgian Coastal Zone and inland waters of Flanders, Belgium, for the growth season period (March to October) of 2017, 2018, and 2019. This dataset was collected to support: (1) development and validation of hyperspectral algorithms for aquatic retrievals with in situ instrumentation; (2) development and validation of hyperspectral algorithms for aquatic retrievals with Earth Observation; (3) development and validation of multispectral algorithms and aquatic applications to high spatial resolution sensors. The dat... Mehr ...

Verfasser: Castagna, Alexandre
Amadei Martínez, Luz
Bogorad, Margarita
Daveloose, Ilse
Dasseville, Renaat
Dierssen, Heidi M
Beck, Matthew
Mortelmans, Jonas
Lavigne, Héloïse
Dogliotti, Ana I
Doxaran, David
Rudddick, Kevin
Vyverman, Wim
Sabbe, Koen
Dokumenttyp: dataset
Erscheinungsdatum: 2022
Verlag/Hrsg.: PANGAEA
Schlagwörter: Apparent optical properties / biogeochemical data / inherent optical properties / Phytoplankton composition / Exploiting very high resolution satellite imagery for coastal and inland water monitoring PONDER / Hyperspectral and multi-mission high resolution optical remote sensing of aquatic environments HYPERMAQ / LifeWatch BE LifeWatch_BE
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28883870
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.1594/pangaea.940240

This dataset contains paired optical and biogeochemical properties sampled in the Belgian Coastal Zone and inland waters of Flanders, Belgium, for the growth season period (March to October) of 2017, 2018, and 2019. This dataset was collected to support: (1) development and validation of hyperspectral algorithms for aquatic retrievals with in situ instrumentation; (2) development and validation of hyperspectral algorithms for aquatic retrievals with Earth Observation; (3) development and validation of multispectral algorithms and aquatic applications to high spatial resolution sensors. The data were collected over a series of short campaigns, with variable frequency depending on the water system and sampling year. The systems sampled were lakes, a lagoon, an estuary and coastal waters. The data consist of three types of data:I - Inherent Optical Properties:- Spectral CDOM absorption coefficient (< 0.45 μm; cuvette): (A) Measured, (B) Fitted to hyperbolic model, (C) Hyperbolic slope;- Spectral particle ... : Folder description: ./anc = Ancillary parameters:./anc/anc_metadata.csv : Station metadata (system, position, time, platform, depth)./anc/anc_observation.csv : Field notes./anc/anc_sun.csv : Local Sun zenith angle, azimuth and atmospheric pathlength./anc/gis = Geographical Information System data:./anc/gis/anc_gis_points.shp : Station points and metadata (LonLat, WGS84)./anc/gis/anc_gis_points.kml : Station points./iop = Inherent Optical Properties (IOPs):./iop/iop_ag_meas.csv : Spectral CDOM absorption coefficient (measured)./iop/iop_ag_fitted.csv : Spectral CDOM absorption coefficient (fitted to hyperbolic model)./iop/iop_ag_shg.csv : Spectral CDOM hyperbolic slope./iop/iop_ap.csv : Spectral particle absorption coefficient (measured)./iop/iop_ad_meas.csv : Spectral de-pigmented particle absorption coefficient (measured)./iop/iop_ad_fitted.csv : Spectral de-pigmented particle absorption coefficient (fitted to exponential model)./iop/iop_ad_sed.csv : Spectral de-pigmented particle exponential ...