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Mariana Altenburg Soppa

Researcher at Alfred Wegener Institute for Polar and Marine Research

Publications -  35
Citations -  386

Mariana Altenburg Soppa is an academic researcher from Alfred Wegener Institute for Polar and Marine Research. The author has contributed to research in topics: Hyperspectral imaging & Chlorophyll a. The author has an hindex of 9, co-authored 30 publications receiving 241 citations.

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Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

TL;DR: In this paper, the authors derived the chlorophyll a concentration (Chla) for three main phytoplankton functional types (PFTs) by combining satellite multispectral-based information, being of a high spatial and temporal resolution, with retrievals based on high resolution of PFT absorption properties derived from hyperspectral satellite measurements.
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Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data

TL;DR: It is found that diatom may be more abundant in the Southern Ocean than previously thought and a new global model (ABAZpd) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model.
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Controls of primary production in two phytoplankton blooms in the Antarctic Circumpolar Current

TL;DR: Two large-scale blooms observed during a cruise with R.V. Polarstern were investigated with respect to phytoplankton standing stocks, primary productivity and nutrient budgets, finding chlorophyll a –specific photosynthesis was more efficient in the bloom closer to the island of South Georgia compared to the open ocean bloom further east.
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Diatom Phenology in the Southern Ocean: Mean Patterns, Trends and the Role of Climate Oscillations

TL;DR: In the Ross Sea region, a later start of the bloom and lower diatom biomass were observed associated with El Nino and negative SAM events; likely influenced by an increase in sea ice concentration during these events.
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Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data

TL;DR: In this article, an algorithm for globally retrieving chlorophyll a (Chl-a) concentrations of phytoplankton functional types (PFTs) from multi-sensor merged ocean color (OC) products or Sentinel-3A (S3) Ocean and Land Color Instrument (OLCI) data from the GlobColour archive in the frame of the Copernicus Marine Environmental Monitoring Service (CMEMS).