Articles | Volume 17, issue 4
https://doi.org/10.5194/essd-17-1685-2025
https://doi.org/10.5194/essd-17-1685-2025
Data description paper
 | 
24 Apr 2025
Data description paper |  | 24 Apr 2025

Hyperspectral library of submerged aquatic vegetation and benthic substrates in the Baltic Sea

Ele Vahtmäe, Laura Argus, Kaire Toming, Martin Ligi, and Tiit Kutser

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Short summary
We compiled a dataset of reflectance measurements for a variety of benthic macrophyte species and substrate types occurring naturally in the Baltic Sea. This dataset provides insights into the spectral properties of macrophyte species characteristic of the temperate geographic region. Such information is often lacking in the data format, while it is essential for developing remote sensing algorithms, classifying images, and defining requirements for future remote sensing missions.
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