DS-Snow
Downscaling Sentinel-3 Snow Cover Data for Meteorological and Hydrological Applications.
Downscaling Sentinel-3 Snow Cover Data for Meteorological and Hydrological Applications.
Enabling an operational Sentinel-1 wetland monitoring service for the Earth Observation Data Centre.
Wetlands are amongst the planet‘s most productive ecosystems providing food and water, controlling floods, protecting against consequences of storms and supporting biodiversity. Thus, a consistent mapping and monitoring of global wetland areas should be a top priority in the upcoming years.
What WetMon does:
Supporting REDD+ Activities and National Forest Inventories with Copernicus Satellite Data in Central and East Africa.
Artificial Intelligence for Automated Mapping of Land Use and Land Cover.
smartCO2 – A roadmap towards smart EO services for CO2 inventorying and control
VegetationDynamics - Towards automatized, scale independent, high resolution, high temporal dynamic vegetation water content monitoring 4.0 - Developing First Time Big Data EO Breakthrough Technologies for Vegetation Indices by Hybridising Sentinels 1 and 2.
LandMon – Exploitation of next generation satellite missions for operational land monitoring
EO-NOVA – Evaluating the potential of emerging EO sensor platforms for novel value-added commercial applications
CropMon – Enabling an operational Sentinel-2 Crop Monitoring Service
A project carried out by Φ-lab in conjunction with UNICEF has been selected as one of the UN agency’s top research initiatives of 2022. The success of the project, which developed an Artificial Intelligence (AI) solution for quantifying dengue fever outbreaks, has led to its operationalisation phase receiving significant funding from the Wellcome Trust.