Anchoring conditions

Dataset

Anchoring and mooring conditions in some coastal areas with detailed data coverage, as interpreted from bottom type (hard or soft bottom) and depth. It is distinguished between anchoring and mooring conditions. In this context mooring means the possibility for divers to mount bolts into exposed bedrock (to fasten marine installations), usually at depths less than 30m. Anchoring conditions mean the anticipated relative hold of anchors in the substrate.

Specific usage

This data set can be used as basis for decision making in the overall land use and environmental planning, in connection with installations on the seabed etc. In addition to identifying areas of the seabed where anchoring is optimal, we also indicate areas where it is possible to fasten bolts (bedrock at depths down to 30 m). This dataset can be used by harbour authorities, fish farmers, and by vessels that wish to anchor in routine or emergency situations.

Distributions

{{ distributionList.title }}

Contact information

Logo Norges geologiske undersøkelse

Contact metadata:
Janne Grete Wesche, janne.wesche@ngu.no – Geological Survey of Norway

Contact owner:
Sigrid Elvenes, Sigrid.Elvenes@ngu.no – Geological Survey of Norway

Contact publisher:
Aave Lepland, Aave.Lepland@ngu.no – Geological Survey of Norway

Distribution

Spatial representation: Vector

Format:
  • FGDB 10.2
  • Shape 10.2
  • SOSI 4.5

Distribution type: External download site

Units of distribution: Municipality, Country, County

Reference systems:
  • EUREF89 UTM sone 32, 2d
  • EUREF89 UTM sone 33, 2d
  • EUREF89 UTM sone 35, 2d
  • WGS84 UTM sone 32, 2d
  • WGS84 UTM sone 33, 2d
  • WGS84 UTM Zone 35, 2d
  • WGS84 Geografisk

Constraints

Use limitations: The level of detail in the data set indicates use within the map scale: 1: 5,000 to 1: 50,000

Access constraints: Open data

Use constraints: License

Licence: Norsk lisens for offentlige data (NLOD)

Security constraints: Unclassified

Help

Anchoring conditions is a derived thematic map that combines grain size data with depth information for a more developed and specialized product.