Citation:

Von Tress, N., B. Schaeffer, L. Guertault, AND N. Nelson. Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions. JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, 619:129278, (2023). https://doi.org/10.1016/j.jhydrol.2023.129278

Impact/Purpose:

The study demonstrates how in situ monitoring of cyanoHABs can be complemented by satellite remote sensing of cyanoHABs by examining cyanoHAB frequencies across in situ and remotely sensed data and how to account for error between remotely sensed and in situ data when monitoring blooms in an individual reservoir. In this study of Lake Okeechobee and potential cyanobacteria export to the St. Lucie Estuary, expanding cyanobacteria monitoring from S-308 to the area of influence revealed cyanoHABs were concentrated near S-308 when large quantities of water were discharged into the St. Lucie only in state-of-emergency years, a pattern not evident from in situ data alone, illustrating how satellite monitoring can bolster in situ data.

Description:

Cyanobacterial harmful algal blooms (cyanoHABs) in reservoirs can be transported to downstream waters via scheduled discharges. Transport dynamics are difficult to capture in traditional cyanoHAB monitoring, which can be spatially disparate and temporally discontinuous. The introduction of satellite remote sensing for cyanoHAB monitoring provides opportunities to detect where cyanoHABs occur in relation to reservoir release locations, like canal inlets. The study objectives were to assess (1) differences in reservoir cyanoHAB frequencies as determined by in situ and remotely sensed data and (2) the feasibility of using satellite imagery to identify conditions associated with release-driven cyanoHAB export. As a representative case, Lake Okeechobee and the St. Lucie Estuary (Florida, USA), which receives controlled releases from Lake Okeechobee, were examined. Both systems are impacted by cyanoHABs, and the St. Lucie Estuary experienced states of emergency for extreme cyanoHABs in 2016 and 2018. Using the European Space Agency’s Sentinel-3 OLCI imagery processed with the Cyanobacteria Index (CIcyano), cyanoHAB frequencies across Lake Okeechobee from May 2016-April 2021 were compared to frequencies from in situ data. Strong agreement was observed in frequency rankings between the in situ and remotely sensed data in capturing intra-annual variability in bloom frequencies across Lake Okeechobee (Kendall’s tau = 0.85, p-value = 0.0002), whereas no alignment was observed when evaluating inter-annual variation (Kendall’s tau = 0, p-value = 1). Further, remotely sensed observations revealed that cyanoHABs were highly frequent near the inlet to the canal connecting Lake Okeechobee to the St. Lucie Estuary in state-of-emergency years, a pattern not evident from in situ data alone. This study demonstrates how remote sensing can complement traditional cyanoHAB monitoring to inform reservoir release decision making.

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