SuperDove Observations of Nearshore Red Tides: A Study of the Central West Coast of Florida

Satellite ocean color remote sensing provides an effective tool for monitoring and tracking harmful algal blooms (HABs) in oceanic, coastal, and inland waters. However, traditional medium-resolution (300 m – 1 km) satellite data do not have the required spatial resolution to characterize nearshore HABs, whose harmful impacts are directly relevant to local communities. Here, we show that commercial imagery provided by the >100 SuperDove sensors in PlanetScope constellation can provide ~4 m resolution, 8-band spectral data every 1-2 days (resampled to 10 m in this study for consistency with Sentinel-2) to meet the critical need for detecting blooms of the toxic dinoflagellate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Karenia brevis</i> (often called red tides) in nearshore waters off the central west coast of Florida (USA). Despite the relatively low signal-to-noise ratios (SNRs), SuperDove Enhanced Red-Green-Blue (ERGB) images clearly depict the detailed distributions and morphological shapes of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i>. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">brevis</i> blooms in both nearshore coastal waters and small estuaries. These features, challenging or impossible to observe from traditional satellite sensors, are well captured and quantified with an optimized deep learning model that leverages both spectral features and spatial context. Comparison of model results with medium-resolution satellite data indicates a detection limit of 0.055 mW cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-2</sup> μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> sr<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> in the normalized fluorescence line height (nFLH) data product, corresponding to around 2-3 mg m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> surface chlorophyll-<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">a</i> concentration or about 300,000 cells L<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K. brevis</i>. Although this detection limit is higher than those offered by traditional satellite sensors with higher SNRs, because of its frequent coverage of global nearshore waters at much higher spatial resolution, the SuperDove constellation is expected to play an essential role in monitoring HABs in nearshore environments to help mitigate the negative impacts of these blooms.

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Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3618445
Primary Topic
Oceanographic and Atmospheric Processes
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article
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article

SuperDove Observations of Nearshore Red Tides: A Study of the Central West Coast of Florida

Cheng Xue, Chuanmin Hu, Yuyuan Xie, Yao Yao et al.
IEEE Transactions on Geoscience and Remote Sensing
Oceanographic and Atmospheric Processes
article

SuperDove Observations of Nearshore Red Tides: A Study of the Central West Coast of Florida

Cheng Xue, Chuanmin Hu, Yuyuan Xie, Yao Yao, Lin Qi, Brian B. Barnes, Jennifer P. Cannizzaro
article en

Abstract

Satellite ocean color remote sensing provides an effective tool for monitoring and tracking harmful algal blooms (HABs) in oceanic, coastal, and inland waters. However, traditional medium-resolution (300 m – 1 km) satellite data do not have the required spatial resolution to characterize nearshore HABs, whose harmful impacts are directly relevant to local communities. Here, we show that commercial imagery provided by the >100 SuperDove sensors in PlanetScope constellation can provide ~4 m resolution, 8-band spectral data every 1-2 days (resampled to 10 m in this study for consistency with Sentinel-2) to meet the critical need for detecting blooms of the toxic dinoflagellate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Karenia brevis</i> (often called red tides) in nearshore waters off the central west coast of Florida (USA). Despite the relatively low signal-to-noise ratios (SNRs), SuperDove Enhanced Red-Green-Blue (ERGB) images clearly depict the detailed distributions and morphological shapes of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i>. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">brevis</i> blooms in both nearshore coastal waters and small estuaries. These features, challenging or impossible to observe from traditional satellite sensors, are well captured and quantified with an optimized deep learning model that leverages both spectral features and spatial context. Comparison of model results with medium-resolution satellite data indicates a detection limit of 0.055 mW cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-2</sup> μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> sr<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> in the normalized fluorescence line height (nFLH) data product, corresponding to around 2-3 mg m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> surface chlorophyll-<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">a</i> concentration or about 300,000 cells L<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K. brevis</i>. Although this detection limit is higher than those offered by traditional satellite sensors with higher SNRs, because of its frequent coverage of global nearshore waters at much higher spatial resolution, the SuperDove constellation is expected to play an essential role in monitoring HABs in nearshore environments to help mitigate the negative impacts of these blooms.

IEEE Transactions on Geoscience and Remote SensingVol. 63
NOAA Center for Satellite Applications and Research (US), University of South Florida St. Petersburg (US), College of Marin (US)
Openalex Percentile: Top 72%
Oceanographic and Atmospheric Processes
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