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Chlorophyll-a concentrations were derived from the complete archive of Sentinel-2 imagery available over the Oder River using a retrieval algorithm based on Case 2 Regional CoastColour (C2RCC) processing. For each sampling site, valid observations were spatially aggregated across all pixels classified as water within a 3x3 pixel window (~3600m2) around each sampling site. The dataset includes the median, mean, standard deviation, and number of valid water pixels contributing to each spatial aggregation.
Satellite observations are irregular because their availability depends on the Sentinel-2 acquisition schedule, cloud cover, atmospheric conditions, and the identification of valid water pixels. Two additional gap-filling approaches, a moving-average interpolation and a 17th-order polynomial fit, were applied to individual site time series to represent daily chlorophyll-a dynamics between valid satellite observations.
Users should refer to the accompanying README and data dictionary files for further information on data processing, variable definitions, known limitations, and intended uses.
shortly before it flows into the Oder kurz vor Mündung in die Oder
biology:
Attention: There are two different methods:
HPLC - High Performance Liquid Chromatography (ex situ)
YSI - Chlorophyll Sensor in Multiparameter probe (in situ)
| Title | created | Filetype | Actions |
|---|---|---|---|
| chla-s2-q1_oderso-sampling-sites_2016-2025_data-dictionary.csv | 28. Jul. 2026 10:01 | datatable: .csv | Download |
| chla-s2-q1_oderso-sampling-sites_2016-2025_README.md | 28. Jul. 2026 10:01 | datatable: .md | Download |
| chla-s2-q1_oderso-sampling-sites_2016-2025.csv | 12. May. 2026 15:38 | datatable: .csv | Download |
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