Quantifying Coral Reef Carbonate Production Using Machine Learning Image Techniques Provides Comparable Estimates to In-Water Approaches
Quantifying Coral Reef Carbonate Production Using Machine Learning Image Techniques Provides Comparable Estimates to In-Water Approaches
Joseph Townsend1, Sivajyodee Sannassy Pilly2, Cut Aja Gita Alisa3, Tries Razak4, Ronan Roche5, John Turner5, Stephen Chan6, David J Kriegman6, Andreas J Andersson7, Christopher T Perry8, Ines D Lange9 and Travis Courtney10, (1)University of Puerto Rico Mayaguez, Department of Marine Sciences, Mayaguez, United States, (2)University of Exeter, Geography, Faculty of Environment, Science and Economy, Exeter, United Kingdom, (3)Institut Pertanian Bogor University, Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, Bogor, Indonesia, (4)Institut Pertanian Bogor University, Bogor, Indonesia, (5)Bangor University, School of Ocean Sciences, Bangor, United Kingdom, (6)University of California San Diego, Department of Computer Science and Engineering, La Jolla, United States, (7)Scripps Institution of Oceanography, La Jolla, CA, United States, (8)University of Exeter, Geography, Exeter, United Kingdom, (9)University of Exeter, Exeter, United Kingdom, (10)University of Puerto Rico Mayaguez, Department of Marine Science, Mayaguez, United States