TY - JOUR
TI - A biologist's guide to the galaxy: Leveraging artificial intelligence and very high-resolution satellite imagery to monitor marine mammals from space
AU - Khan, C
AU - Goetz K
AU - Cubaynes, H
AU - Robinson, C
AU - Murnane, E
AU - Aldrich, T
AU - Sackett, M
AU - Clarke, P
AU - LaRue, M
AU - White, T
AU - Leonard, K
AU - Oritz, A
AU - Lavista Ferres, J
T2 - Journal of Marine Science and Engineering
AB - Monitoring marine mammals is of broad interest to governments and individuals around the globe. Very high-resolution (VHR) satellites hold the promise of reaching remote and challenging locations to fill gaps in our knowledge of marine mammal distribution. The time has come to create an operational platform that leverages the increased resolution of satellite imagery, proof-of-concept research, advances in cloud computing, and machine learning to monitor the world’s oceans. The Geospatial Artificial Intelligence for Animals (GAIA) initiative was formed to address this challenge with collaborative innovation from government agencies, academia, and the private sector. In this paper, we share lessons learned, challenges faced, and our vision for how VHR satellite imagery can enhance our understanding of cetacean distribution in the future.
DA - 2023/03//
PY - 2023
VL - 11
IS - 2
SP - 595
EP - 625
UR - https://www.mdpi.com/2077-1312/11/3/595
DO - 10.3390/jmse11030595
LA - English
KW - Marine Mammals
ER -