Copernicus Relays for digitalisation

spanning a Network

Joint CoRdiNet - CobHub.AC Workshop at

Havforskningsinstituttet23 October 2019, Bergen

Havforskningsinstituttet

EO MAMMALSA TOOL TOWARDS THE SUSTAINABILITY OF THE WHALE-WATCHING ACTIVITYCopernicus for Marine Environment: Application for marine mammals surveillance and monitoring environmental public management

Identification of biological hotspots for cetaceans and support the management of marine conservation areas

Modeling the relationships between oceanic environment data - acquired by the Sentinel satellites S3A and S3B - and biological data

Results will be incorporated in a governmental application – RedPROMAR – to satisfy the needs of a wide variety of users

Scientific and Technical goals• Use of remotely sensed environmental parameters to identify biological hotspots

for cetaceans and foster the management of marine conservation areas and protection of significant species in an area heavily targeted by the whale watching industry

• Creation of a Macaronesian habitat prediction model for marine mammals by integrating EO data and Copernicus services with biological data available from a well-established collaborative network, and support the sustainability of the whale watching activity

• Use of satellite data in marine mammal surveillance and monitoring

• Improve marine data network to be used by a wide variety of users in different domains.

EO MAMMALS prediction algorithms ran with thedefined input variables for the generation ofgeographic data to identify biological hotspots forcetaceans and create a Macaronesian habitatprediction model

Space assetsCOPERNICUS MARINE ENVIRONMENT MONITORING SERVICE DATA

Sea surface temperature Sea surface height Chlorophyll-a concentration

Technical Solution

Users’ dataSIGHTINGS (SINCE 2004) AND VESSEL TRACKS’ DATA

Sightings data Vessels

Technical SolutionPrediction algorithm development

Estimation of relationships for month and sea surface temperature

Estimation of relationships for sea surface height and bathymetry

Mean-variance estimation for the model

12 months predicted counts generated

OutputsMonthly mammals’ presence prediction maps for users and for integration in

Red PROMAR website and Red PROMAR mobile App

Improve the whale watching experience for the user (higher probability of sightings)

Help public management of marine protected areas

Increase the involvement of the users with REDpromar and REDpromar app

Provide researchers with information on the species habitats

Expected impact

Copernicus Relays for digitalisation

spanning a Network

Further information…

http://www.eomammals.com