Improvement of phenological models by means of time series of EO (Earth Observation) data for numerical pollen forecast

Suitability of mixed-satellite-sensor derived 3D data for rapid urban population estimation in crisis situations

In this project, we wanted to know if, in the absence of dedicated stereo pairs, cross-orbit, mixed-time and/or mixed sensor stereo pairs could be used to produce digital elevation models. These models would then be used for population estimation and damage assessment. The project was a cooperation with Uni Geneva/GRID and DLR.

Extended EO-based services for dynamic information needs in humanitarian action

EO-based services to support humanitarian operations: monitoring population and natural resources in refugee/IDP (internally displaced person) camps

Comprehensive And Rapid Information Provision for Efficient Disaster and Emergency Management

Multi-Frequency SAR Data Fusion in Support of Global Climate Monitoring

Feasibility study for using stereo Pléiades images for deriving 3D forest parameters for the entire Alpine space region

Towards an Earth Observation Platform for the Greater Danube Region: Initial Developments and Scientific Experiments

Satellite Technologies for Improved Drought-Risk Assessment

Drought risk management systems are mostly restricted, because drought information is not linked to socioeconomic impacts, such as crop failure or food insecurity. SATIDA solves this problem by combining satellite-derived drought hazard information with food security assessments. These assessments are conducted by vulnerable communities in the world's most drought-prone regions via a smartphone app.

Preparing for the Initial Services of the Earth Observation Data Centre for Water Resources Monitoring

The mission of the Earth Observation Data Centre for Water Resources Monitoring (EODC- Water) GmbH, which will be founded by the consortium members of this proposal in early 2014, will be to work together with its partners from science, the public- and the private sector in order to foster the use of earth observation data in support of monitoring of global water resources.