Satellite detections move toward population monitoring; detectability and coverage are key

Jake Linsky presented simulation experiments and planned ground‑truth work to translate satellite detections into population estimates. His team ran simulated populations and sampling that showed expanding spatial coverage typically yields larger improvements in precision than simply increasing revisit frequency beyond a modest number of passes. Detectability and availability — whether animals are at the surface and water clarity — were identified as the dominant uncertainties to calibrate.

To ground truth detectability, Linsky described deploying whale‑sized surface models with controlled sinking depths and accompanying tag video, water samples and optical measurements to measure at what depths and under which oceanographic conditions satellites can detect a surface object. "Maximizing area coverage not necessarily frequency is going to be best return on the dollar," he summarized from simulation results, and he recommended targeted ground‑truth experiments and representative tagging that accounts for demographic differences across seasons.