Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy support

Heremans, Stien (Project leader)
Callebaut, Julie (Cooperator)
Casaer, Jim (Cooperator)
Onkelinx, Thierry (Cooperator)
Pallemaerts, Lynn (Cooperator)
Rutten, Anneleen (Cooperator)
Turkelboom, Francis (Cooperator)

3 Paper/Powerpoint/Abstract
2 Poster
1 A1: Web of Science-article
1 Data Management Plans

2 results

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2024

Biological valuation map of Flanders: a sentinel-2 imagery analysis
Li, M., Grujicic, D., De Saeger, S., Heremans, S., Somers, B. & Blaschko, M. B., Jul-2024. 1 p.
Research output: Contribution to conference › Poster › peer-review

Open Access
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333 Downloads (Pure)
2021

Towards unlocking the potential of freely available Copernicus data for environmental monitoring through spatio-(spectro-)temporal deep learning
Heremans, S., Verhulst, M., Callebaut, J., Turkelboom, F., Reusen, I., Van Achteren, T., Blashko, M. & Somers, B., 11-Oct-2021. 10 p.
Research output: Contribution to conference › Poster

Open Access
File

1888 Downloads (Pure)