HYDRO 2016 Paper 3B3
Managing hydrographic data varying from point clouds to object data like buoys, contours and wrecks is getting more challenging, because of increasing volume of acquired data and multiple usage. The traditional use for hydrographic data for navigational purposes rapidly extending over the years to new fast growing usages like offshore wind farms, dredging and environmental issues. A new innovative approach of hydrographic data management is crucial to cope with these challenges.
The presentation starts with an assessment of the functionality needed for data management to cope the challenges. Data management solutions are needed that offer a combination of fast and efficient storage, visualisation and web distribution and flexibility with respect to point, raster and feature attributes, metadata and styling. Users need to be able to browse data sets based on metadata and location, visualise point cloud data according to their own needs and publish point cloud data sets based on customer requirements.
Second part of the presentation shows how this new approach is implemented in GeolinQ. The data management approach based on the concept of flexible data modelling will be explained. Examples will demonstrate how the approach improves data quality by structuring and validation, allows fast data retrieval, customised visualisation and multiple options to share or export hydrographic data. Experiences will be shared defeating the challenges managing hydrographic data for multiple usages.