The GEORICE innovator addresses research priorities within the Group of Earth Observation Global Agricultural Monitoring (GEOGLAM) initiative related to SAR techniques for rice monitoring. The project developed and demonstrated EO products for crop rice stage monitoring based on the high temporal frequency of Sentinel-1 over the Mekong delta to derive statistics of rice planted area …
The Sen2-Agri project is designed to develop, demonstrate and facilitate the Sentinel-2 time series contribution to the satellite EO component of agriculture monitoring at national scale. The project will demonstrate the benefit of the Sentinel-2 mission for the agriculture domain across a range of crops and agricultural practices. The project objectives are to provide validated …
SMELLS will implement an innovative approach to combine Sentinel-1 SAR data with thermal disaggregated SMOS-derived soil moisture to derive a soil moisture product at both high-spatial and high-temporal resolution to provide a new tool for decision-makers in the Desert locust preventive control system. SMELLS has been developed and demonstrated together with FAO and several national …
The Sen4CAP project aims at providing to the European and national stakeholders of the European Common Agricultural Policy (CAP) validated algorithms, products and best practices for agriculture monitoring relevant for the management of the CAP. Special attention shall be given to provide evidence how Sentinel-1 and Sentinel-2 derived information can support the modernization and simplification …
The Hydrology TEP offers: – a Community Platform: an open, collaborative and inclusive community where users can SHARE information, knowledge, algorithms, methods, tools, results, products, services. – a Service Platform: a portal providing LARGE SCALE EO SERVICES and PRODUCTS customised for hydrology applications. Flood monitoring and small Water bodies mapping, Water quality and level, Hydrological …
Through the provision of access to large volumes of EO and in-situ data, computing resources, algorithm development space and the fundamental processing software required to extract temporal and spatial information from Big Data, C-TEP provides a dedicated service for the observation and monitoring of our coastal environment and society. Integration of satellite EO data, in-situ …
The Polar Thematic Exploitation Platform provides a complete working environment where users can access algorithms and data remotely, providing computing resources and tools that they might not otherwise have, avoiding the need to download and manage large volumes of data. This new approach removes the need to transfer large Earth Observation data sets around the …
The Forestry Thematic Exploitation Platform (Forestry TEP) enables commercial, governmental and research users in the forestry sector globally to efficiently access satellite data based processing services and tools for generating value-added forest information products. Via the platform, the users can also create and share their own processing services, tools and generated products.
The Urban TEP project has delivered a fully operated environment demonstrating enabling platform techniology for the following aspects: – Technical: Linking big data, IT-infrastructures, processing and analysis solutions; – Thematic: Provision of standardised, new, and tailored products and services for urban environments; – Societal: Improving access to and distribution of data, methods and information. – …
NORUT has developed an automatic avalanche detection method within a pre-operational processing chain that uses Sentinel-1 data to detect avalanches. This system is being tested in Northern Norway and is used operationally during winter 2017-2018 with the Norwegian Avalanche Warning Service. The goal of this project is to develop our avalanche detection processing chain to …
