rasdaman newsletter 04/2023
Real-Time Ship and Shore Geo Data Fusion
This summer, the research vessel Sanna explored Greenland’s coastal seafloor doing onboard realtime data fusion. Live bathymetry got combined with satellite image, weather, bedrock, ice, and more datacubes available via the EarthServer federation. The Greenland excursion movie documents the trip.
Sanna is a state-of-the-art research vessel operated by the Greenland Institute of Natural Resources (GINR). In a demonstration conducted jointly by GINR and Constructor University, Sanna exemplified seamlessly connected services, including on-the-fly data homogenization and intercontinental distributed data fusion, all fully automated. “Specifically for Greenland, it is important to have seafloor characteristics such as slope, aspect and ruggedness ready for mix and match with a variety of other data,” says Karl Zinglersen, head of the environment department at GINR.
“We routinely harvest from worldwide data sources into datacubes – you wouldn’t believe how heterogeneous their data are, and how much the mileage of metadata completeness and conformance varies,” explains Prof. Peter Baumann, Cube4EnvSec coordinator. “The main task of our rasdaman datacube engine is to push all technicalities behind the curtain and provide support, such as with AI-Cube chatbots, so that experts gain productivity and non-experts gain access for the first time.”
The showcase is part of NATO Science for Peace and Security (SPS) project Cube4EnvSec with the consortium partners Constructor University, Tel Aviv University, GINR, Istanbul Aydin University, and the International Arctic Research Centre in Fairbanks, Alaska. Goal is to showcase the added value of federated, AI-enabled datacube services by building a continuously up-to date datacube federation of 3D and 4D space/time datacubes.
More information: https://cube4envsec.org
contact: Prof. Dr. Peter Baumann