Skip to main content
Unsupported Browser Detected

Internet Explorer lacks support for the features of this website. For the best experience, please use a modern browser such as Chrome, Firefox, or Edge.

NOAA Fisheries Personnel Default Profile

George Cutter, Ph.D.

Research Oceanographer
Antarctic Ecosystem Research Division
Phone: (858) 546-5691
Email: george.cutter@noaa.gov

George Cutter, Ph.D.

Research Oceanographer

George Cutter is a Research Oceanographer with the Antarctic Ecosystem Research Division (AERD). He has pursued and supported development of a wide array of remote sensing tools and methods to improve NOAA’s capabilities for ocean mapping, fisheries acoustics, and underwater imaging. His recent work supports the use of autonomous platforms to survey and monitor krill in waters off the Antarctic Peninsula. Currently, he uses wideband echosounders on submerged mooring arrays to measure krill biomass and transport. He is involved with NOAA efforts in machine learning, artificial intelligence, and cloud computing.

Selected Publications:

Reiss C.S., Cossio A.M., Cutter G.R., Walsh J., Watters G.M.. 2021. Glider-based estimates of meso-zooplankton biomass: a fisheries case study on Antarctic krill (Euphausia superba) around the northern Antarctic Peninsula. Frontiers in Marine Science. DOI: https://doi.org/10.3389/fmars.2021.604043.

Richards B.., Beijbom O., Clarke M.E., Cutter G., Dawkins M., Edgington D.R., Hart D.R., Hill M., Hoogs A., Kriegman D., et al. 2019. Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision. Honolulu, HI: NOAA Pacific Islands Fisheries Science Center Report No.: NMFSC-PIFSC-83.

Cutter Jr., G.R., Manugian, S.C., Renfree, J., Smith, J., et al. 2017. Mobile Acoustic Sampling to Map Bathymetry and Quantify the Densities and Distributions of Salmonid Smolt Predators in the San Joaquin River. NOAA Technical Memorandum, NOAA-TM-NMFS-SWFSC-575. 134 pp.

Cutter Jr., G.R., Stierhoff, K.L., Demer, D.A., 2016. Remote sensing of habitat characteristics using echo metrics and image-based seabed classes. ICES J. of Marine Science, 73(8), 1965–1974. DOI: https://doi.org/10.1093/icesjms/fsw024.

Demetras, N., Huff, D.,  Michel, C., Smith, J., Cutter, G., Hayes, S., Lindley, S. 2016. Development of underwater recorders to quantify predation of juvenile Chinook salmon (Oncorhynchus tshawytscha) in a river environment. Fishery Bulletin 114(2), 179-185.

Cutter, G., Stierhoff, K., Zeng, J., 2015. Automated detection of rockfish in unconstrained underwater videos using Haar cascades and a new image dataset: Labeled Fishes in the Wild. 2015 IEEE Winter Applications and Computer Vision Workshops (WACVW), pp.57-62. DOI: https://ieeexplore.ieee.org/document/7046815

Peterson, J.C., De Moustier, C.P., Cutter, G.R. 2015. Py-OSET. Python Open Source Echosounder Toolkit: real-time visualization of network data broadcasts from echosounders. DOI: https://sourceforge.net/projects/pyoset.

Cutter Jr., G.R., Demer, D.A. 2014. Seabed classification using surface backscattering strength versus acoustic frequency and incidence angle measured with vertical, split-beam echosounders. ICES Journal of Marine Science, 71: 882–894.  DOI: https://doi.org/10.1093/icesjms/fst177.

Sturdivant, S.K., Diaz, R.J., Cutter, G.R. 2012. Bioturbation in a declining oxygen environment, in situ observations from Wormcam. PLoS ONE 7(4): e34539. DOI: https://doi.org/10.1371/journal.pone.0034539.

Cutter, G.R. and Demer, D.A. 2010. Multifrequency, bi-planar, interferometric imaging. Geoscience and Remote Sensing Letters, 7(1):171-175. DOI: 10.1109/LGRS.2009.2029533.