Improving the Accuracy of Krill Target Strength Using a Shape Catalog

Antarctic krill are subject to precautionary catch limits, based on biomass estimates, ensure human activities do not adversely impact their important ecological role. Accurate target strength models of individual underpin estimates. These scaled using measured and estimated distributions length orientation. However, while the distribution a swarm is accessible from net samples, there currently limited consensus method for estimating orientation distribution. This leads limiting factor in calculations. In this work, we consider geometric shape as variable calculations describe practical generating catalog shapes. A shapes produces more response than an equivalent population generic shape. Furthermore, has greatest backscattering cross-section (linearized strength) where dominant scattering mechanism mie scattering, irrespective weighting. We suggest that should be used addition improve accuracy