WELCOME TO BASTA

Boost Applied munition detection through Smart data inTegration and AI workflows

Existing approaches for the detection of submerged warfare material are time consuming and costly. They suffer from limited objectivity and acknow­ledgement of uncer­tainties, which is partly due to the lack of an industry standard for data acquisition and handling. This resulted in high heterogeneity in process chains and data work­flows.

BASTA (Boost Applied munition detection through Smart data inTe­gration and AI workflows) aims at advancing the approach for munition detection both on local and a larger scale. The project seeks to advance data acqui­sition through ultra-high-resolution 3D sub-bottom profiling (SBP) and intelligent autonomous underwater vehicle (AUV) based magnetic mapping as part of an adaptive and iterative survey approach. In addition, it will foster sustainable use of survey and historical data within a multi-sensor database. Conducting data analysis of big data by means of artificial intelligence will lead to new approaches in detection and identification of munition. New tools, methods and workflows will be discussed with stakeholders, with the aim of formalizing recom­mendations for munitions detection for industry and government players.

In order to achieve these ambitious targets a consortium of GEOMAR Helmholtz Centre for Ocean Research (project lead), Flanders Marine Institute (VLIZ), EGEOS GmbH, G-tec SA has been formed. The project is funded for the duration from December 2019 until November 2022 by the European Maritime and Fisheries Fund (EMFF) of the European Union in the "Blue Labs" program.


Image: Torpedo Head at German Munitions Dumping Site Kolberger Heide (Ⓒ Jana Ulrich)

 

                            

With the contribution of the European Maritime and Fisheries Fund of the European Union

Grant Agreement No: 863702

News

Media Coverage

  • German Newspaper Die Welt covered munitions in the sea and BASTA (2020-02-23)
  • Upon initiation, BASTA was covered in German national radio (Deutschlandfunk; 2020-01-14)

Click here for additional reports.