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High-resolution Geophysical and Imagery Data Collected in May 2023 Near Fort Hase, Marine Corps Base Hawaii

March 8, 2024

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS – SPCSMC), conducted a geophysical and imagery survey around Fort Hase Marine Corps Base Hawaii (MCBH) and Coconut Island, on the island of Oahu, Hawaii (HI), during May 2023. During this study, multibeam bathymetry and acoustic backscatter data were collected aboard the research vessel (R/V) Alyce C using a Norbit Winghead® system.

Underwater digital images and global positioning system (GPS) data were collected May 4-12, 2023, within a 1.2-kilometer (km) x 0.3-km area around Ft Hase Oahu, HI. Some images were also collected during this survey at Coconut Island, Oahu, HI. A total of 78,924 images of the seafloor and water column were collected along track lines oriented parallel to the coast. This data release contains those images (78,924 images), all of which contain GPS data. The data were collected using the USGS polecam, a purpose-built pole-mounted sensor package for mapping shallow-water benthic environments. The polecam uses a Teledyne FLIR Computar V1228-MPY that is connected to a Trimble GPS antenna that accurately records the position of each photograph.

Efforts were supported by the Defense Advanced Research Protection Agency (DARPA) Reefense Project and the USGS Coastal Sediment Availability and Flux (CSAF) Project. For further information regarding data collection and/or processing methods, refer to the associated metadata.

Publication Year 2024
Title High-resolution Geophysical and Imagery Data Collected in May 2023 Near Fort Hase, Marine Corps Base Hawaii
DOI 10.5066/P9KACPGU
Authors Chelsea A Stalk, Emily A Wei, Rachel K Marcuson, Gerald Hatcher, Christine Kranenburg
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization St. Petersburg Coastal and Marine Science Center
Rights This work is marked with CC0 1.0 Universal
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