CubeSat constellation shines light on fisheries studies: A case study of fish mortality events

In March 2023, a massive fish mortality event occurred in the Lower Darling-Baaka River in the south-east of Australia, which led to extensive media coverage. Yet to date the information on this event is incomplete and the severity of the event has not been quantified. Here, using Planet SuperDove observations from the CubeSat constellation, we demonstrate how to detect and quantify dead fish in the aquatic environment. The 4-m resolution daily imagery revealed the start, evolution, and end of the event. In this river with an average width of ∼40 m, the maximum detected areal coverage of dead fish reached ∼88,209 m 2 , corresponding to an estimated 4.0–8.0 million dead fish on the peak day. The reflectance spectral shapes from the dead-fish pixels appear similar to those measured in the field from another event, and they also differ from many other floating materials. The same method was also applied to a fish mortality event in Tampa Bay (Florida, USA) due to a harmful algal bloom, with successful detection that matched field reports. Because of the near real-time availability of the high-resolution high-revisit data from the Planet CubeSat constellation, this proof-of-concept study suggests that, with the knowledge of lower-detection limit and spectral characteristics of dead fish, a monitoring system can be established for near-real-time response at least for places with historical fish mortality events, and more CubeSat constellations in the future may eventually lead to a system to detect fish schools in surface waters. • Demonstrated detection and quantification of dead fish using 4-m CubeSat image. • Reconstructed the temporal evolution of a major river fish mortality event. • Showed the feasibility of near-real-time ecological disaster monitoring.

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Publication Details

Journal
Remote Sensing Applications Society and Environment
Published
2026-04-01
DOI
https://doi.org/10.1016/j.rsase.2026.102010
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00

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article

CubeSat constellation shines light on fisheries studies: A case study of fish mortality events

Menghua Wang, C. Hu, Jennifer Cannizzaro, Lin Qi
Remote Sensing Applications Society and Environment
Marine and coastal ecosystems
article

CubeSat constellation shines light on fisheries studies: A case study of fish mortality events

Menghua Wang, C. Hu, Jennifer Cannizzaro, Lin Qi
article en

Abstract

In March 2023, a massive fish mortality event occurred in the Lower Darling-Baaka River in the south-east of Australia, which led to extensive media coverage. Yet to date the information on this event is incomplete and the severity of the event has not been quantified. Here, using Planet SuperDove observations from the CubeSat constellation, we demonstrate how to detect and quantify dead fish in the aquatic environment. The 4-m resolution daily imagery revealed the start, evolution, and end of the event. In this river with an average width of ∼40 m, the maximum detected areal coverage of dead fish reached ∼88,209 m 2 , corresponding to an estimated 4.0–8.0 million dead fish on the peak day. The reflectance spectral shapes from the dead-fish pixels appear similar to those measured in the field from another event, and they also differ from many other floating materials. The same method was also applied to a fish mortality event in Tampa Bay (Florida, USA) due to a harmful algal bloom, with successful detection that matched field reports. Because of the near real-time availability of the high-resolution high-revisit data from the Planet CubeSat constellation, this proof-of-concept study suggests that, with the knowledge of lower-detection limit and spectral characteristics of dead fish, a monitoring system can be established for near-real-time response at least for places with historical fish mortality events, and more CubeSat constellations in the future may eventually lead to a system to detect fish schools in surface waters. • Demonstrated detection and quantification of dead fish using 4-m CubeSat image. • Reconstructed the temporal evolution of a major river fish mortality event. • Showed the feasibility of near-real-time ecological disaster monitoring.

Remote Sensing Applications Society and EnvironmentVol. 42
Global Science & Technology (United States) (US), NOAA Center for Satellite Applications and Research (US), University of South Florida St. Petersburg (US), College of Marin (US)
National Aeronautics and Space Administration, Florida Fish and Wildlife Conservation Commission
Life below water
Openalex Percentile: Top 17%
Marine and coastal ecosystems
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