CORDIS Project
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This project focuses on developing advanced Deep Learning techniques to analyze high-frequency land monitoring data. By creating a comprehensive training dataset and innovative change detection methods, it aims to enhance understanding of land use dynamics across Europe, supporting sustainable development goals.
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 moni…
VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V.
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Germany, Kaiserslautern
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Germany, Berlin
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Italy, Roma
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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