Our data products provide detailed and objective insights into benthic habitats. They are created from survey data gathered with our seafloor survey system (DiveRay) which is equipped with an underwater hyperspectral imaging (UHI) sensor, and processed in our proprietary AI-driven processing pipelines.
Our first products have been developed for use in the preservation and restoration of seagrass meadows. We are working on both extending these products to other benthic organisms as well as on adding other information products. The geodetic position of the ground control points of these data sets have an accuracy of ~3 m, and within the local coordinate system the spatial positioning accuracy is ~1 cm.
Our orthoimagery results offer an unprecedented level of detail, providing a highly detailed and comprehensive image of the seafloor.
These results are presented as e.g. GeoTIFFs, with a maximum spatial resolution of 1 x 1 cm. The data is generated from the 5.4K RGB sensor and underwater navigation unit of our mapping technology, which is then meticulously processed, including water column corrections and white balancing. The orthophotos serve as the foundation for our other data products.
We utilize an AI-driven processing pipeline to detect and distinguish living and attached seagrass meadows in our orthoimagery, generating a data set indicating their coverage as a percent value.
We are currently working on incorporating additional benthic organisms and (human-made) structures into this dataset.
This data product provides an estimation of the quantity of carbon (kg/m2) contained in seagrass meadows, with a spatial resolution of 10 x 10 cm. To derive these estimates, we leverage cutting-edge AI-driven processing pipelines that scrutinize data from various sensors of our mapping technology.
We then apply existing scientific data to convert the acquired data into estimates of the amount of carbon stored both above and below the ground.
With our UHI sensor we can look beyond the mere structure of the seafloor. Through a range of (pre-determined) indices, our data provides you with a never seen before insight into the health and productivity of seagrass meadows (e.g., chlorophyll data set).
Our software pipelines allow us to quickly process the seafloor data collected, in a standardised way with the support of AI.
Our underwater navigation sensors allow you to effectively return to your area of interest under water to e.g. track changes over time.
Our AI-based annotation libraries allow us to objectively identify features on the seafloor, without the constant need of human-based interventions.
We do not sub-sample the datasets we collect, each pixel is information leading to more precise results.
We avoid unnecessary mapping by providing the FieldGuide tablet app, which allows for on-site instant quality control of your data.
While our datasets provide great insights into blue carbon, our data can also be used to e.g. determine biodiversity or the condition of underwater constructions.
We combine hyperspectral imaging, precise underwater navigation and AI-based automated data processing to ground-truth aerial and satellite imagery for blue carbon projects.
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