We carry out analysis of observational data, for example these:
When analyzing data we use our own code and open-source software to the widest extent possible and operate on the raw data preferably. This ensures unrestricted access to the observational material (the manufacturer's own software often produces a much reduced data set, in which errors are impossible to find and account for), transparency in the choice of methods, including their advantages and limitations, and the flexibility to utilize the data to their full extent.
Depending on the situation and the data in question, a number of data products can be made. A few examples are as follows.
These can be delivered digitally, for example for use in GIS software, or graphically as shown in the photo above.
Natural systems are extremely complex. We are particularly skilled at combining different types of data and obtaining important knowledge about the system and the governing processes. This is essential when managing a system, for example, when trying to minimize the spill and the spreading of sediment from marine constructions. In addition, such knowledge is fundamental when establishing a sound, numerical model of a given system.
All data, observations made directly or quantities calculated as function of other data, are associated with uncertainties. So, really, how accurate is your bathymetry, discharge calculation or sediment spill rate?
This may be determined using uncertainty analysis, involving instrument specifications, survey conditions and computational procedures. In contrast, uncertainties provided directly by manufacturers of instruments and software are oftentimes nontransparent and may not be reliable.