TCarta Marine, a global provider of hydrospatial products, has announced development of new Machine Learning-based bathymetric mapping technologies – including creation of two software packages and commercial application of NASA’s ICESat-2 satellite – with funding from the National Science Foundation (NSF).
“The NSF grant has brought value to the bathymetric mapping arena in many ways,” said TCarta President Kyle Goodrich. “We have applied the newly developed satellite-derived bathymetric (SDB) mapping techniques in numerous commercial and government projects worldwide.”
The commercial bathymetric mapping projects relate to oil spill management, oil & gas exploration and production, coastal infrastructure engineering, environmental monitoring, and geospatial intelligence (GEOINT) activities. Customers include private-sector organizations as well as numerous international government agencies.
As TCarta begins the second year of its NSF Phase II grant, the company announced the release of two bathymetric software products developed through the program:
● Multispectral Bathymetric Tool for Esri ArcPro – A toolbox within the popular Esri GIS software to process Satellite Derived Bathymetry data, assess accuracy, and output as .BAG files.
● ICESat Data Extraction Software – A tool that leverages artificial intelligence algorithms to automatically extract seafloor depth measurements from ICESat-2 laser data.
In 2018, NSF awarded TCarta a Phase 1 grant to develop multi-method and integrate SDB technologies.
Referred to as Project Trident, the research focused on leveraging Artificial Intelligence (AI) – machine learning and computer vision – to determine shallow-water seafloor depths in variable water conditions. The two-year Phase 2 grant focused on commercialization of these technologies was awarded in late 2019.