The Sentinels for Common Agricultural Policy project aims at providing to the European and national stakeholders of the CAP validated algorithms, products, workflows and best practices for agriculture monitoring relevant for the management of the CAP. The project will pay particular attention to provide evidence how Sentinel derived information can support the modernization and simplification of the CAP in the post 2020 timeframe.

The Climate Change Initiative Land Cover project aims at providing long-term satellite-based products on the land surface and its dynamics to further understand the climate system and support climate modelling. Consistent global products were generated: global maps characterizing LC and changes at 300m from 1992 to 2015, a series of the seasonality of the vegetation greenness, snow and burned areas and a global map of open permanent water bodies at 150m. The project also generated 10-m land cover maps with Sentinel-2 over Africa and MesoAmerica.

The Sentinel-2 for Agriculture (Sen2-Agri) project designs and demonstrates an open-source system able to process Sentinel-2 data in an operational manner to generate key products for agriculture monitoring. The project is working hand-to-hand with users all over the world for the system update and for allowing them uptaking the system as smoothly as possible.

Lifewatch is the European Research Infrastructure Consortium for biodiversity and ecosystem research. Lifewatch Wallonia-Brussels is a remote sensing data provider for ecosystem monitoring. Near real time detection of extreme phenological events based on the analysis of more than 15 years of snow and vegetation time series; and an integrated large scale (2 m resolution) geographic object database iteratively tuned for the modelling of species habitats and biotope characterization.

ECoLaSS develops methods and algorithms for pre-operational prototypes demonstrated by means of test/demonstrations sites distributed over Europe and Africa. ECoLaSS promotes the innovation potential of new land monitoring services and applications and thus contributes to a growing "Copernicus Economy".

How to collaborate with farmers to improve agricultural practices in Belgium? Focused on winter wheat, maize and potatoe, BELCAM link users, developers and information providers on an interactive platform gathering all geolocated data, based on the near real time transmission of information.

International partnership for agriculture improvement research. JECAM is an initiative to reach a convergence of approaches, develop monitoring and reporting protocols and best practices for a variety of global agricultural systems.

The Observatory for the Forests of Central Africa (OFAC) to improve the knowledge and monitoring systems (deforestation, logging, biodiversity, concessions, protected areas, etc.) to strenghten the technical capacity of COMIFAC countries.

ARES is an interdisciplinary and collaborative research including sociological, economical, GIS and remote sensing studies. It analyses socio-economic impacts and implications of land use change in Philippine uplands related to high-input commercial corn implementation.

In the framework of the PROBA-V MEP-TPS project, the UCL research activity aims to improve the monitoring of the Desert Locust habitat. The goal is to adjust and implement the existing Greenness timer algorithm to PROBA-V 100 m time series in order to provide Dynamic Greeness Maps at a much finer scale to FAO. This is especially interesting in fragmented habitat and will contribute to improve the early warning system for the affected countries.

STARS is a research project which is looking for ways to use remote sensing technology to improve agricultural practices in Sub-Saharan Africa and South Asia. Supported by the Bill &amp Melinda Gates Foundation, the project hopes to significantly advance the livelihoods of smallholder farmers in some of the world’s poorest countries.

Stimulating Innovation for Global Monitoring of Agriculture (SIGMA) develops innovative methods and indicators to monitor and assess progress towards "sustainable agriculture", focused on th assessment of longer term impact of agricultural dynamics on the environment and vice versa.

Implementation of Multi-scale Agricultural Indicators Exploiting Sentinels (ImagineS) conducts a series of single date or multi-temporal field campaigns over 223 sites around the world. It's a unique tool to assess the accuracy of Eo-derived biophysical products like the Copernicus Global Land service products.

Geoland2 aims to prepare the operational application capabilities of Copernicus Land Services, consisting of Core Mapping Services and Core Information Services, to support decision makers with the most accurate and up to date information available.

Big Data serve people's needs !
Vegetation indices derived from Earth Observation satellite data combined with unique mobile phone call data between 9 million users are used to develop a new conceptual approach to estimate monthly millet prices for three contrasted years in 57 markets in Senegal.