Objective
New catalogues of nearly daily temporal data will soon dominate the global archives. However, there has been little exploration of Deep Learning (DL) techniques to leverage the spatiotemporal dimension at scale. Training data remains rare relative to the spatiotemporal sampling which is necessary to adequately capture natural and man-made phenomenology latent in these large volumes of high cadence data.
The project will establish the foundations for the next generation of rapid cadence land monitoring applications by:
1. Creating the most complete and dense spatiotemporal training set, combining Sentinel-2 with high cadence, very high resolution, harmonized multispectral Planet imagery at 500,000 patch locations over Europe, and open sourcing these datasets for the benefit of the entire remote sensing community.
2. Developing and benchmarking alternative ways of detecting and classifying change from very high cadence observations by training state-of-the-earth multiscale supervised and unsupervised DL classifiers on these unique data sources.
3. Delivering high cadence high resolution change detection heatmaps for the entire European continent.
4. Demonstrating a highly effective end-to-end process to monitor and update the CORINE land cover product, with emphasis on improved understanding of land use, speeding up update cycles and reducing maintenance costs.
Our framework constitutes a game changer in the ability to derive time-critical and location-specific insights into dynamic land surface processes. Our ambition is to enable new and better ways of measuring and understanding the human footprint on our planet, which is a key challenge of the UN Sustainable Development Goals.
This project brings together industry leaders with a strong, demonstrated record of disruptive innovations and young innovators: Planet Labs, Vision Impulse, VITO, IIASA and ONDA DIAS/Serco Italia.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business business and management innovation management
- natural sciences physical sciences astronomy planetary sciences planets
- engineering and technology environmental engineering remote sensing
- natural sciences earth and related environmental sciences soil sciences land-based treatment
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space
MAIN PROGRAMME
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H2020-EU.3.5. - SOCIETAL CHALLENGES - Climate action, Environment, Resource Efficiency and Raw Materials
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SPACE-2018-2020
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2400 Mol
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.