EO4HumEn+
Extended EO-based services for dynamic information needs in humanitarian action
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.
Integration of Webcam data for deriving Snow cover and snow depth from Sentinel-1, Sentinel-2 and Pléiades data
A Cloud-Based System for High-Resolution Soil Moisture Monitoring over Austria
Soil moisture is a pivotal variable in the coupled water-, energy-, and carbon cycles, and is hence of high interest to a wide range of applications. Both public- and private organisations need soil moisture data to improve their services, yet the spatio-temporal resolution of operationally available soil moisture data has so far not met the requirements of many public-sector and commercial applications.