Detection of Phaeocystis globosa in the Belgian coastal waters with hyperspectral PACE/OCI satellite data
Lavigne, H.; Ruddick, K.; Vanhellemont, Q.; Van der Zande, D.; Vansteenwegen, D. (2025). Detection of Phaeocystis globosa in the Belgian coastal waters with hyperspectral PACE/OCI satellite data, in: 15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing ((WHISPERS), 12-14 November 2025 Bellaterra (Barcelona), Spain. pp. 1-6
In: (2025). 15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 12-14 November 2025, Bellaterra (Barcelona), Spain. GRSS-IEEE: [s.l.].
Blooms of the phytoplankton Phaeocystis globosa in the Southern North Sea present significant ecological and economic challenges. Previous studies have shown that Phaeocystis globosa could hyperspectral radiometry. In this study, we assess the potential of the new PACE/OCI hyperspectral satellite sensor to detect this species. During the 2025 spring bloom, we compared PACE/OCI data with in situ hyperspectral measurements from a PANTHYR system to evaluate Phaeocystis globosa detection capabilities. Using second derivative analysis, distinct spectral signatures were identified in both in situ and satellite data. The results show that PACE/OCI can successfully differentiate Phaeocystis globosa from diatoms blooms and that synoptic maps of the bloom can be produced. This confirms the feasibility of using hyperspectral satellite sensors for large-scale monitoring of phytoplankton species, offering a significant advancement for marine ecosystem management.
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