Innovative methods based on satellite data for the monitoring and prediction of Harmful Algae Blooms (HABs) in the Rias Baixas area (NW Spain)

ABSTRACT:
Harmful Algae Blooms (HABs) are a frequent phenomenon in the Rias Baixas (NW Spain) that impacts on mussel aquaculture activities. Within CoastObs project, a set of products based on Earth Observation (EO) data has been developed to provide useful information for aquaculture users in the region. These products include a new set of algorithms for the detection and monitoring of Pseudo-nitzschia spp. blooms from Sentinel-3 OLCI, prediction models based on recent developments in machine learning methods and an innovative approach combining EO data and Dynamic Energy Budget (DEB) modelling for analysing mussel growth. Products were calibrated and validated using in situ data and further evaluated by an association of mussel producers. Results show the potential of EO data to complement the information provided by the existing in situ monitoring program.

COLLEGAMENTO WEBEX :
https://cnronline.webex.com/cnronline/j.php?MTID=mee9ed5ac4049a6b7b8adf0cf915468df
___________________

vai alla registrazione dei precedenti seminari

Disclaimer
"Partecipando a questo incontro, accetti che lo stesso venga registrato e reso disponibile sul cloud di ISMAR. Dalla registrazione verranno eliminati lista dei partecipanti e chat"
Ricordiamo a tutti di tenere spento il proprio microfono. Accenderlo solo in caso di intervento.

“By accessing this meeting you acknowledge that it will be recorded and made available on the ISMAR cloud. Chat and participant list will not be recorded.”
We ask everybody to mute their microphone, unless intervening. Please write your questions in the chat

Il gruppo seminari CNR-ISMAR, Alessandra Conversi (Lerici), Filomena Loreto (Bologna), Gianluigi Liberti (Roma) e Camilla Palmiotto (Bologna).