AVL's offer to the science community
Agriculture Virtual Laboratory strives to make an attractive offer to the science community for implementing and executing end-to-end workflows with EO data and derived products. Embracing open science principles, AVL will enable researchers to access, share, visualise, process and validate a variety of relevant data sets. Moreover, algorithms and workflows developed within the virtual laboratory may be published and shared, thus fostering collaboration at all stages of research.
To this end, the AVL system integrates several components
- A web-based workspace including a Jupyter Lab, a visualisation service, the interface to the Thematic Processing subsystem, and an overview of the user’s own data and algorithms
- TAO, the Thematic Processing Subsystem, providing an engine for numerous common workflows and tools for agriculture research, e.g. Sen2Agri and Sen4CAP, as well as more generic tools such as SNAP, GDAL, and Orfeo
- An Exploitation Subsystem based on a Jupyter Lab environment, providing convenient access to all data in a common analysis-ready format thus greatly facilitating the development and execution of complex workflows involving multiple datasets.
- An interactive viewer to display, explore, and analyse data from the Thematic Processing and Exploitation subsystems
- The data access layer, connecting heterogeneous data sets from different sources to AVL, greatly decreasing the burden of data management for researchers.
Initially funded as a 36-month project by the European Space Agency, the AVL is intended to be a community based, long-term initiative facilitating the continuous development of expertise and knowledge in agricultural monitoring and modelling based on the evolving Earth Observation (EO) capabilities. AVL is implemented by a strong, complementary team of four institutions, all experts in their respective fields.