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2020 – today
- 2023
[c4]Lorenzo Giuliano Papale, Fabio Del Frate, Leila Guerriero, Giovanni Schiavon, Jean Bouchat:
Physics-Based ML and Polarimetric SAR for Soil Moisture Retrieval. IGARSS 2023: 1930-1933- 2022
- [j3]Emma Tronquo
, Hans Lievens, Jean Bouchat, Pierre Defourny, Nicolas N. Baghdadi, Niko E. C. Verhoest:
Soil Moisture Retrieval Using Multistatic L-Band SAR and Effective Roughness Modeling. Remote. Sens. 14(7): 1650 (2022) - [j2]Jean Bouchat, Emma Tronquo, Anne Orban, Xavier Neyt, Niko E. C. Verhoest, Pierre Defourny:
Green Area Index and Soil Moisture Retrieval in Maize Fields Using Multi-Polarized C- and L-Band SAR Data and the Water Cloud Model. Remote. Sens. 14(10): 2496 (2022) - [j1]Jean Bouchat, Emma Tronquo, Anne Orban, Niko E. C. Verhoest, Pierre Defourny:
Assessing the Potential of Fully Polarimetric Mono- and Bistatic SAR Acquisitions in L-Band for Crop and Soil Monitoring. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3168-3178 (2022) - 2021
- [c3]Jean Bouchat, Emma Tronquo, Hans Lievens, Niko E. C. Verhoest, Pierre Defourny:
Assessing the Potential of Fully-Polarimetric Simultaneous Mono- and Bistatic Airborne SAR Acquisitions in L-Band for Applications in Agriculture and Hydrology. IGARSS 2021: 2703-2706 - [c2]Jean Bouchat, Pierre Defourny:
Effect of Row Orientation on Maize Green Area Index Retrieval from L-Band Synthetic Aperture Radar Imagery. IGARSS 2021: 6716-6719 - [c1]Benoît Legat, Raphaël M. Jungers, Jean Bouchat:
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control. L4DC 2021: 263-274
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