Shipping Intensity Cargo (static)

General Information

North Sea

Baltic Sea

Clyde Marine Region

Adriatic Sea

Shipping Intensity Cargo (static)

Layer Info
Category	Activities
Sub-category	Shipping

Description

Shipping Intensity of cargo vessels in hours per square kilometer per month

MSP Challenge

This puts no pressure on the ecosystem.

Return to shipping.

Types

• 0 - 0.25 hours/km2/month
• 0.5 - 2 hours/km2/month
• 2 - 5 hours/km2/month
• 5 - 10 hours/km2/month
• 10 - 20 hours/km2/month
• 20 - 100 hours/km2/month
• >100 hours/km2/month

Metadata

Data Source

Adapted from EMODnet human activities portal.

Original Title

Vessel Density Cargo

Description

"The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet Human Activities web portal (www.emodnet-humanactivities.eu). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS) and ORBCOMM. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month." From EMODnet human activities data portal, accessed on 2022-05-09.

The yearly average for 2017 was used for the MSP Challenge.

Creation Date

Not available. Implemented on 2019-11.

Methodology

The data layer was clipped to the North Sea Region.

Not applicable.

This layer is not available in the Baltic Sea Edition.

Not applicable.

This layer is not availalbe in the Clyde Marine Region Edition.

Types

• 0 to 500 ships
• 500 to 1.000 ships
• 1.000 to 5.000 ships
• 5.000 to 10.000 ships
• 10.000 to 20.000 ships
• more than 20.000 ships

Metadata

Data Source

Data layer provided by the project partner CNR-ISMAR based on data from EMSA - European Maritime Safety Agency.

Original Title

Not available.

Description

Not available.

Creation Date

Provided on 2020-07-09.

Methodology

The layer was implemented in the MSP Challenge as provided by the project partner (CNR-ISMAR).