A group of 38 experts specializing in hyperspectral remote-sensing methods for aquatic ecosystems attended an inter- active Euromarine Foresight Workshop at the Flanders Marine Institute (VLIZ) in Ostend, Belgium, June 4-6, 2019. The objective of this workshop was to develop recommendations for compre- hensive, efficient, and effective labora- tory and field programs to supply data for development of algorithms and vali- dation of hyperspectral satellite imagery for micro-, macro- and endosymbiotic algal characterization across the globe. The international group of research- ers from Europe, Asia, Australia, and North and South America (see online Supplementary Materials) tackled how to develop global databases that merge hyperspectral optics and phytoplankton group composition to support the next generation of hyperspectral satellites for assessingbiodiversityintheoceanandin food webs and for detecting water qual- ity issues such as harmful algal blooms.

Data needs for hyperspectral detection of algal diversity across the globe

Brando Vittorio;
2020

Abstract

A group of 38 experts specializing in hyperspectral remote-sensing methods for aquatic ecosystems attended an inter- active Euromarine Foresight Workshop at the Flanders Marine Institute (VLIZ) in Ostend, Belgium, June 4-6, 2019. The objective of this workshop was to develop recommendations for compre- hensive, efficient, and effective labora- tory and field programs to supply data for development of algorithms and vali- dation of hyperspectral satellite imagery for micro-, macro- and endosymbiotic algal characterization across the globe. The international group of research- ers from Europe, Asia, Australia, and North and South America (see online Supplementary Materials) tackled how to develop global databases that merge hyperspectral optics and phytoplankton group composition to support the next generation of hyperspectral satellites for assessingbiodiversityintheoceanandin food webs and for detecting water qual- ity issues such as harmful algal blooms.
2020
Istituto di Scienze Marine - ISMAR
hyperspectral
algal
detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/377657
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