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SpecWa: Spectral remote sensing data and chlorophyll a values of inland waters

Maier, Philipp M.; Keller, Sina

Abstract:
This dataset contains data of measurements at several inland water bodies in the region around Karlsruhe, Germany, including spectral data and mainly chlorophyll a values. The measurements are motivated by the idea to link remote sensing data and in-situ acquired data for an estimation of selected water parameters solely based on spectral data with data-driven machine learning approaches. To address this topic, we monitored the selected inland water bodies with a spectrometer as a remote sensing device and two in-situ measurement devices to collect among others the chlorophyll a values during the summers of the years 2018 and 2019. The eleven selected water bodies are characterized by a relatively small size and a variety of different chlorophyll a concentrations.

In sum, the dataset of the year 2018 consists of 1,305 datapoints and the dataset of the year 2019 includes 2,830 datapoints. Each datapoint is defined by the spectral data in the range of 389 nm to 910 nm and all in-situ measured reference values such as the chlorophyll a concentration of the respective year. Depending on the applied in-situ measurement device, the chlorophyll a concentration or additional water parameters were either measured directly on-site or taken as water samples and analyzed in the laboratory.
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Originalveröffentlichung
DOI: 10.5880/fidgeo.2020.036
Zugehörige Institution(en) am KIT Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU)
Institut für Photogrammetrie und Fernerkundung (IPF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Forschungsdaten
Publikationsjahr 2020
Identifikator KITopen-ID: 1000123066
Schlagwörter spectral remote sensing, inland water, chlorophyll a, turbidity, algae, CDOM, hydrosphere > water (geographic) > surface water > inland water
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