SEN3GCP is conceived as a service that will provide GCPs (Ground Control Points) and precise co-registration of EO products as an automated service accessible via the web and API. The service will be based on a global database of GCPs that is derived from SAR imagery (3D coordinates including height information) and for which corresponding …
More than half of the world’s population is living in cities. According to the WHO air quality database 80% of people living in urban areas that monitor air pollution are exposed to air quality levels that exceed WHO limits. Narrowing down to cities in low and middle income countries with more than 100 000 inhabitants, …
Lakes that form a seasonal ice cover are a major component of the terrestrial landscape. They cover approximately 2% of the Earth’s land surface, with the majority of them located in the Northern Hemisphere. The presence (or absence) of ice cover on lakes during the winter months affects both regional climate and weather events, such …
The project aims to develop the technical basis for an advanced Sentinel-1 Ice Velocity (IV) product for ice sheets and ice caps with improved spatial resolution and accuracy, based on Sentinel-1 interferometric phase measurements.
Accurate estimates of sea ice thickness are essential for numerical weather prediction, ice extent forecasts for navigability and to demonstrate the impacts of climate change on sea ice. The main source of uncertainty in sea ice thickness measurements from radar altimetry is due to snow. Scattering of the radar signal as it travels through snow …
The main part of the project is to develop a total ozone product for Ocean and Land Colour Instrument (OLCI) on board Sentinel 3 A,B. The product will be derived using the Sentinel-3A, B OLCI Level 1 Full Resolution data. The cloud mask, snow mask, and atmospheric correction procedures will be also developed. OLCI measurements …
The project will perform an experimental campaign to investigate the potential of Sentinel-2 and PRISMA data to estimate and predict the concentration of different nutrients (K, P, Ca, Fe, Mg, Zn, N and S) in the final agricultural production.
The project aims at improving a current surface albedo generation system by adapting and integrating a deep learning system for cloud detection, an advanced atmospheric correction model which considers the surface BRDF effects, and a new technology allowing to retrieve high-resolution albedo from high-resolution reflectance by combining with downscaled MODIS BRDF climatology
The SenCYF project proposes an innovative crop yield forecasting model based on Sentinel-2 data, validated with a France-wide in situ yield data set. It aims at addressing two core scientific questions: What are the performances of a nation-wide S2-based winter wheat yield estimation model at farm level? What are the performances of a nation-wide S2-based …
Using CryoSat-2 interferometric synthetic aperture radar (SARIn) altimetry together with NASA’s operation IceBridge and IceSat-2 Lidar data in a multi-layer neural network (NN) in order to enhance CryoSat-2 SARIn swath measurements. Further investigation will be carried out into the use of these corrections to derive surface condition state and change. The European Space Agency (ESA), …
