Projects

363547-191001-021000
19-NGI3-79
N/A
9/1/2019
2021-8-31 0:0:0
Completed
$19,190.00
Geospatial Analysis of Deep-Sea Environments using ROV Video Data with the Coastal and Marine Ecological Classification Standard (CMECS)
Skarke
Adam
MSU
Freeman
Jacob
MSU
Data Mgmt DM
Video data of the Gulf of Mexico seafloor are collected by NOAA using the remotely operated vehicle (ROV) Deep Discover aboard the Okeanos Explorer, and researchers have enhanced access to and usability of this data. They generated and tested Python scripts that created maps of the seafloor viewshed and the seafloor substrate distribution along the full extent of the ROV dives. The scrips extracted ROV navigation and video annotation data from NOAA datasets and yield GIS digital maps that comply with the Coastal and Marine Ecological Classification Standard (CMECS). The researchers also generated standard operating procedures for the Python scripts that automate the generation of color-coded seafloor substrate maps and resultant GIS polygon files from ROV and shipboard data and will make all project code available through a GitHub public repository. The ROV video data provided the base for a model of comprehensive digital mapping of seafloor environmental parameters, including ecological observations.