International

ICAN is a project of UNESCO IOC´s IODE Programme, and ICAN members seek to play a leadership role in forging international collaborations of value to the participating nations, thereby optimizing regional governance in coastal zone management and marine spatial planning.

Coastal

We live on a blue planet, with oceans and seas covering more than 70 per cent of the Earth’s surface. Oceans feed us, regulate our climate, and generate most of the oxygen we breathe. Some 37 per cent of the world's population lives within 100 km of the coast. (UNEP)

Atlas

CWAs are "...collections of digital maps and datasets with supplementary tables, illustrations, & information that systematically illustrate the coast, oftentimes with cartographic & decision support tools, all of which are accessible via the Internet."  O'Dea et al., 2007

Network

Membership in ICAN is open to all interested parties who agree to the mission & objectives of ICAN, including those with an operational coastal web atlas, as well as those hoping to design and build a coastal web atlas in the future.
Join us!

¡Únete a nosotros!

Keiran Millard
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SeaSpace is a marine atlas part-funded by the UK Space Agency, and was set up to address a particular aspect faced by marine and coastal users, namely how to consume information from large data sets (typically from earth observation missions and numerical models) – without having to download and process large binary data files?

SeaSpace Atlas showing its current extents of North West Europe


Users wanted a solution that was “like Google Maps” that provided a simple interface to communicate to them, in a meaningful way, what these large datasets contained.  What’s been delivered is not just a standalone atlas, but a standards-compliant WMTS with an API enabling others to use the service.

SeaSpace is not a scientific challenge – the technology pieces exist, it’s about taking what exists and tailoring  it to deliver the atlas—in particular large archives of marine data derived from earth observation missions, processing infrastructure for large datasets and standard web services that users are familiar with.  Formally three objectives were addressed in SeaSpace:

  1. To exploit data across a range of different satellite missions observing the marine environment; advancing the uptake of existing missions and feeding back to the space community gaps in observing capability.
  2. To help bridge the gaps between publically funded services for processing earth observation data (e.g. GMES1 / ESA Due2) and the consumption of this data at the community level; establishing a persistent relationship between these communities.
  3. To introduce the Data as a Service (DaaS) concept and representation of earth observation data as explicit geographic Features Types, enabling the exploitation of existing data archives and ongoing missions.

From a technical point of view, the focus of the Sea Space project is about taking large and complex datasets and extracting specific information from them that conforms to definitions agreed within user communities. For the prototype SeaSpace atlas, the offshore renewable energy industry was adopted as a target user community.  This goes somewhat against how data services have traditionally been delivered which is to adopt a ‘lowest common denominator’ approach.  In SeaSpace we deliberately sought to process the data to maximize information available, irrespective about whether we were duplicating content.  So, if the user would like maximum, minimum and mean of ocean temperature we would generate these statistics and present them as separate information.  The parameters extracted for the trial atlas are shown in the table below:

 

Data layer

Definition

 Kinetic Power Density

The measurement of the mean hydrokinetic resource in KW/m2 for both the Neap (n) and Spring (s) cycles of an average 14.5day tidal period. The minimum economic threshold for site development is often considered to be around 1 KW/m2. For outstanding sites, the kinetic power density may exceed 5 KW/m2

 Bathymetry

Gridded bathymetric surface with spot height soundings.  The requirement here was a batyhmetric surface that was “cartographically good”, providing a backdrop to multiple oceanographic features.

 Mean Tidal Range

The difference between high tide and the succeeding low tide, averaged over both the Neap (n) and Spring (s) cycles of an average 14.5day tidal period and measured in metres.

 Mean Current Speed

The mean current speed (measured in metres per second) predicted for both the Neap (n) and Spring (s) cycles of an average 14.5day tidal period.

 Current Speed Exceedance

The value of the current speed (measured in metres per second) exceeded 10% of the time in the 14.5day tidal period.

 Rising Tide Direction & Speed

Mean peak current speed (m/s) and corresponding direction of the rising/flood tide, calculated both for the Neap (n) and Spring (s) cycles.

 Falling Tide Direction & Speed

Mean peak current speed (m/s) and corresponding direction of the falling/ebb tide, calculated both for the Neap (n) and Spring (s) cycles.

 Dominant Wind
 Direction & Average Speed

Dominant wind direction and monthly average wind speed at 10m height above sea level (in metres per second)

 Mean Significant Wave Height

Wave Height is defined as the vertical distance between the crest of one wave and the preceding trough and the Significant Wave Height is described as the mean height of the largest third of the zero-up-crossing waves.

 

 Significant Wave Height
 10% Exceedance

The Significant Wave Height (in metres) that is exceeded 10% of the time.

 Dominant Wave Direction

The most dominant wave direction measured in degrees.

 Maximum Significant Wave Height

The maximum significant wave height, measured in metres.

 Longest Wave Period

The longest wave period, defined as the longest time it takes two successive wave crests to pass a given point, measured in seconds.

 Mean, Min and Max
 Sea Surface Temperature

Mean sea surface temperature (in Degrees Celsius).

 Mean Sea Surface Salinity

Mean sea surface salinity, measured in PSU, where PSU is the Practical Salinity Unit measuring the ionic salt concentration in sea water (1 PSU is equivalent to 1g/kg).

This information service had to be developed in a way that could be deployed via a number of channels, including web services and direct ingestion into GIS software.  In order to deliver this information service, it was clear that a web map that allows users access to these features as a series of layers was the most appropriate.


Figure 2: SeaSpace Atlas showing example of multiple over-layed WMTS layers


SeaSpace adopted the Web Map Tile Service (WMTS) standard as it provided for good cartographic control of how the features were displayed, both on their own and in conjunction with other features.  In addition, it also offered the best option in terms of performance.  Given that user had reported finding existing  web map services for marine data very slow, we wanted to show this didn’t need to be the case.


Figure 3: SeaSpace Atlas showing close-up detail around Orkney in the far North-East of Scotland

Para nuestras Costas

Vol, 8, Nr 2 - Now Available!

We are now entering our 9th year publishing the ICAN newsletter. Many thanks to our Editor Andy Sherin!

Please consider preparing an article for the next newsletter that will likely be published in the spring of this year.

Happy New Year!

Photos from CoastGIS 2018

Our friends from CoastGIS 2018 have posted a wonderful gallery of photos, including the recent ICAN mini-workshop:

See how many ICAN members you can spot!