Please join the Biology Department and Great Lakes Center for their next seminar "Development and application of a robot-assisted computer vision system to support ecological monitoring in the Great Lakes" presented by Peter Esselman, fisheries biologist, USGS Great Lakes Science Center. All are welcome.
ABSTRACT The benthification of Great Lakes foodwebs, facilitated by dreissenid mussel population expansion, places new emphasis on the need to quantify benthic ecosystem attributes including habitats, mussels, round goby, Cladophora, and other attributes. U.S. Geological Survey has been working collaboratively with partner institutions to develop a robot-assisted computer vision system that includes mobile technologies to deploy camera systems close to the lakebed, as well as algorithms to receive and condition acquired imagery and automatically quantify features of interest. Data collected during the 2018 and 2019 field campaigns with autonomous underwater vehicles and a SCUBA assisted camera system were used to support algorithm development for substrate classification, 3-D reconstruction and structural characterization of the lakebed, analysis of multi-scale structural characteristics of bottom habitats, round goby presence, Cladophora presence and volume, and dreissenid mussel presence. Initial findings from these algorithm development processes will be presented with suggestions for needed future refinements. The implications of these new capabilities to support spatially targeted management of Great Lakes habitats and biological resources will be discussed.
Back to Top
Some content on this page is saved in PDF format. To view these files, download Adobe Acrobat Reader free. If you are having trouble reading a document, request an accessible copy of the PDF or Word Document.