UC San Diego

There are many environments on Earth that are so remote that they are inhospitable to humans and conventional sensing equipment. Yet, these environments can hold information of ecological and cultural significance that cannot be gathered anywhere else. Current methods of gathering information in these environments give an important window, but utilizing modern sensors to capture 3D information can allow us to interpret existing data and understand the environments in new and unique ways. This thesis will demonstrate how 3D capture can improve data collection and interpretation in three separate remote environments. First, I will show how Synthetic Aperture Sonar on autonomous underwater vehicles paired with optimized feature detectors can improve target detection and seafloor recognition. Next, I will show how RGBD cameras, photogrammetry, and LIDAR can be used in isolated Guatemalan archaeological excavations to visualize and contextualize ancient sites in relation to each other and to our broader understanding of Mayan history. Finally, I will demonstrate the effectiveness and potential of RGBD cameras for fish stock assessment through detection and length and biomass measurement in open waters and in aquaculture.