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  • The service provides an overview over chartered/surveyed areas of the Norwegian sea areas. Bathymetry has been collected over a long period, by various actors and with different equipment. In the attribute table of the dataset, there are details such as the year of measurement, mapping method, data owner/which actor collected the data, equipment, echo sounder type, specification, and resolution. This service is based on OGC API Features. OGC API is a group of new standards being developed by the Open Geospatial Consortium (OGC) to make it easier to access geographic data on the web. Not all GIS software has established support for all the new standards, which means that for example one must use a vector tiles connection to this service when using QGIS.

  • The dataset provides an overview over chartered/surveyed areas of the Norwegian sea areas. Bathymetry has been collected over a long period, by various actors and with different equipment. In the attribute table of the dataset, there are details such as the year of measurement, mapping method, data owner/which actor collected the data, equipment, echo sounder type, specification, and resolution. This service is based on OGC API Features. OGC API is a group of new standards being developed by the Open Geospatial Consortium (OGC) to make it easier to access geographic data on the web. Not all GIS software has established support for the new standards, which may result in the functionality being somewhat slow in certain clients, such as QGIS.

  • This dataset shows the strength of the bottom reflectivity. The bottom reflectivity says something about seabed acoustic response, which could give indications about the variations int the types of seabed. Generally, a strong reflection indicate hard bottom, while weaker reflection indicates the softer bottom. Other factors influencing the bottom reflectivity are how well the sediments are sorted and how even the seabed is.

  • This dataset contains the grain size composition of seabed sediments upper part (top 0-50 cm of the seabed). The attribute table for the data set provides information on the different grain size classes and which term is used, based on the content of different grain sizes in sediments. Based on information about grain size distribution, other topics can be further developed, such as sedimentation environment, bottom stream data, information on hard and soft bottoms, etc.

  • Data set shows the distribution of seabed sediments classified by genesis (Quaternary sediments). The data cover parts of the Norwegian continental shelf in Barents Sea, Norwegian Sea, North Sea and Skagerrak.

  • This data set contains the seabed sediments on the upper part of the bottom of the sea (upper 0-50 cm of the seabed), classified after genesis. The data set covers coastal areas in mapped areas in detailed scale. Detailing level vary between data from different mapping projects.

  • The data set shows different landforms on the seabed on the Norwegian continental shelf and in the fjords. Examples of seabed landforms are channels, canyons, sediment waves, areas with sediment waves, glacial lineations, iceberg plough marks, moraines, slide escarpments, slide scars, slide areas, areas with slide deposits, submarine fans and areas with pockmarks.

  • The data set shows the grain size composition in the upper part of the seabed sediments (upper 0-50 cm of the seabed). The attribute table for the data set provides information on the different grain size classes and which term is used based on the content of different fractions in sediments. Based on information about grain size distribution, other topics can be further developed, such as sedimentation environment, bottom stream data, information on hard and soft bottoms, etc.

  • This data set contains the distribution of seabed sediments classified after genesis in mapped areas on the Norwegian shelf. The superficial deposit surface type describes the superficial deposits genesis. The data is based on the contents of the Quaternary map which are analogous (scale 1: 250,000 to 1: 500,000), or based on digital data from modern surveying.