The 4-years EU FP7-SPACE INFORM project started on 1 January 2014 aims to develop novel and improved user-driven products for inland water quality (WQ) monitoring by using innovative remote sensing methods integrated into biogeochemical models which fully exploits the improved spectral, spatial and temporal capabilities of upcoming Earth Observa

The HIGHROC (HIGH spatial and temporal Resolution Ocean Colour) project will carry out the research and development necessary for the next generation coastal water products and services from ocean colour space-borne data by giving an order of magnitude improvement in both temporal and spatial resolution.

Confronted with fast-paced environmental changes, biota in Antarctic ecosystems are strongly challenged and face three possible outcomes: adaptation, migration or extinction.

The purpose of the PAMIR project is to explore common and specific aspects of atmospheric and oceanographic data validation and documentation in order to generate harmonised practice guidelines and tools in compliance with international standards.

AquaRES is a Belspo funded BRAIN project in which VLIZ, ULB and RBINS collaborate to set up the exchange between the species registers WoRMS,

The goal of the vERSO project is to assess the impact of the main stressors driven by global change

on benthic Antarctic ecosystems using an integrated multiscale approach including

representative taxa from different size classes of the benthos. Two principal regions with current

The overall objective of SPEEDY is to obtain integrated insight into the responses of populations and communities to urbanization.

Animal movement, and especially animal migration, is of great scientific and practical importance, and wide public appeal.

The EMODnet-Geology project is one of seven that bring together information on the Geology, Chemistry, Biology,

TILES is devoted to the creation of a harmonised geological knowledgebase of the Belgian and southern Dutch part of the North Sea. Most innovatively, the geological resource will be quantified in 5 dimensions: space, depth, time, and associated uncertainties.