The Global Marine Information System (GMIS) is a geo-portal application that provides access to spatial, temporal, physical and biological marine variables, and related environmental information, derived from satellite remote sensing.
The GMIS "MPA Analyst Tool" supports the assessment and the monitoring of Marine Protected Areas (MPAs) by delivering individual reports.
A spatial marine database
- Geographical extent: Lat. 90°N – 90°S & Lon. 180°W – 180°E
- Datasets spacial resolution: 4 & 9 km
- Time resolution: monthly
GIS functionnalities and statistical analysis
GMIS provides basic navigation and interrogation tools with a range of time-series and statistical analyses generated automatically in a format ready for reporting, and enabling decision makers to make full and lasting use of this information.
INSPIRE/OGC web services
For visualisation of spatial data and to ensure full interoperability, GMIS provides Open Geospatial Consortium (OGC) Web Map Services (WMS) 1.1 and 1.3 as well as WMS-Time. Raster-based download services are offered as direct NetCDF downloads or using OGC’s Web Coverage Service (WCS-Time). These Web Coverage (WC) Services are set up as INSPIRE view and download services.
MPA analyst tool
The MPA Analyst tool allows for the processing of important physical and biological variables (e.g. chlorophyll biomass, water temperature) that contribute to assessing the state of the environment within Marine Protected Areas (MPAs). Based on individual requests, the processing is carried out in real-time using the remotely-sensed satellite database of the GMIS Geoportal. The tool relies on accurate statistical analysis to generate, via e-mail, report sheets featuring the variability and the trends of the selected variable(s), supporting regional assessments and effective management of MPAs.
Example: Emarine report on MPA 168256 (Cayos de San Felipe - Cuba)
R analyst tool
The R package EMIS-R allows for easy access to the data of the Global Marine Information System (GMIS)
An OGC’s Catalogue Service for the Web (CSW) is available as standard end-point (version 2.0.2) by the JRC Data Portal.
Dr Nicolas Hoepffner
Dr Pascal Derycke