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2020 – today
- 2023
[c2]Anne Jacquin, Sébastien Bosch, Sylvain Baradat, Fahd Benatia, Philippe Nonin, Hervé Poilvé, Alexis Barot, Janos Balazs:
Imaging the World During Dry and Wet Seasons, Global Satellite Image Mosaics at Meter-Scale Resolution. IGARSS 2023: 2606-2609- 2021
- [c1]Nicolas Barbier, James Ball, Ilona Clocher, Hervé Poilvé, Philippe Verley, Grégoire Vincent:
Sensing Tropical Forest Phenology and Productivity from the Field to the Satellite. IGARSS 2021: 716-719 - 2020
- [j5]Le Bienfaiteur T. Sagang
, Pierre Ploton, Bonaventure Sonké, Hervé Poilvé, Pierre Couteron, Nicolas Barbier:
Airborne Lidar Sampling Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes. Remote. Sens. 12(10): 1637 (2020) - [i1]Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Hervé Poilvé, Guillaume Rieu, Jean-Yves Tourneret:
Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops. CoRR abs/2004.08431 (2020)
2010 – 2019
- 2019
- [j4]Johanna Albetis, Anne Jacquin, Michel Goulard, Hervé Poilvé, Jacques Rousseau, Harold Clenet, Gérard Dedieu, Sylvie Duthoit:
On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases. Remote. Sens. 11(1): 23 (2019) - 2017
- [j3]Johanna Albetis, Sylvie Duthoit, Fabio Guttler, Anne Jacquin, Michel Goulard, Hervé Poilvé, Jean-Baptiste Féret, Gérard Dedieu:
Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery. Remote. Sens. 9(4): 308 (2017) - 2015
- [j2]Antoine Roumiguié, Anne Jacquin, Grégoire Sigel, Hervé Poilvé, Olivier Hagolle, Jean Daydé:
Validation of a Forage Production Index (FPI) Derived from MODIS fCover Time-Series Using High-Resolution Satellite Imagery: Methodology, Results and Opportunities. Remote. Sens. 7(9): 11525-11550 (2015)
2000 – 2009
- 2009
- [j1]Charalambos Kontoes, Hervé Poilvé, Géraldine Florsch, Iphigenia Keramitsoglou, S. Paralikidis:
A comparative analysis of a fixed thresholding vs. a classification tree approach for operational burn scar detection and mapping. Int. J. Appl. Earth Obs. Geoinformation 11(5): 299-316 (2009)
Coauthor Index
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