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HYPSTAR hyperspectral water reflectance and derived water quality products (suspended particulate matter and chlorophyll-a concentration) at the Blankaart surface water reservoir (BE)

<p><strong>Hyperspectral Water Leaving Reflectance spectra (2988)</strong> measured between 2021-02-03 and 2022-08-03 at the Blankaart Surface Water Reservoir (Belgium, 50.98857N, 2.835213E) with the <strong>HYPSTAR&reg;</strong> (ID: HYPSTAR_12120241). Detailed description of the data collection, processing and analysis can be found in&nbsp;<strong>Goyens et al.- Remote Sens. 2022</strong> - 14(21)- 5607; https://doi.org/10.3390/rs14215607.</p> <ol> <li>HYPSTAR_W_BSBE_L2A_REFL_20210203_20220803_v1.csv</li> </ol> <p><strong>Chlorophyll-a (Chl-a) concentration and Suspended Particulate Matter (SPM) </strong>were derived from the above&nbsp;dataset of hyperspectral water reflectance&nbsp;and estimated according to different algorithms found in the litterature, i.e.,</p> <ol> <li>HYPSTAR_W_BSBE_CHLA_SIMIS_20210203_20220803_v1.csv<strong>:</strong>&nbsp;<strong>Chlorophyll-a concentration</strong> estimated from the <strong>HYPSTAR&reg;</strong> reflectance measurements&nbsp;and following the algorithm suggested by&nbsp;Simis et al.&nbsp;(2005;&nbsp;https://doi.org/10.4319/lo.2005.50.1.0237) with a variable&nbsp;absorption coefficient of phytoplankton per unit of Chl-a concentration as described in Goyens et al. (2022)</li> <li>HYPSTAR_W_BSBE_CHLA_CRAT_20210203_20220803_v1.csv:&nbsp;<strong>Chlorophyll-a&nbsp;concentration</strong> estimated with the <strong>HYPSTAR&reg;</strong>&nbsp;reflectance measurements and following the algorithm suggested by Ruddick et al. (2001; https://doi.org/10.1364/AO.40.003575.) with a variable absorption coefficient of phytoplankton per unit of Chl-a concentration&nbsp;as described in Goyens et al. (2022)</li> <li>HYPSTAR_W_BSBE_SPM_20210203_20220803_v1.csv: <strong>Suspended particulate matter </strong>estimated with the <strong>HYPSTAR&reg;</strong>&nbsp;reflectance measurements&nbsp;and following the algorithm suggested by&nbsp;Nechad et al. (2010) at 700 nm</li> </ol>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
8

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