Raphaël d'Andrimont

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Earth Observation

Top Venues

Comput. Electron. Agric.

Publications

Laura Martinez-Sanchez, Linda See, Momchil Yordanov, Astrid Verhegghen, Neija Elvekjaer, Davide Muraro, Raphaël d'Andrimont, Marijn Van der Velde
Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model. Environ. Model. Softw. 172 (2024)
Valentin Barriere, Martin Claverie, Maja Schneider, Guido Lemoine, Raphaël d'Andrimont
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data. CoRR (2023)
Momchil Yordanov, Raphaël d'Andrimont, Laura Martinez-Sanchez, Guido Lemoine, Dominique Fasbender, Marijn Van der Velde
Crop Identification Using Deep Learning on LUCAS Crop Cover Photos. Sensors 23 (14) (2023)
Pieter Kempeneers, Martin Claverie, Raphaël d'Andrimont
Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR). Remote. Sens. 15 (9) (2023)
Momchil Yordanov, Raphaël d'Andrimont, Laura Martinez-Sanchez, Guido Lemoine, Dominique Fasbender, Marijn Van der Velde
Crop identification using deep learning on LUCAS crop cover photos. CoRR (2023)
Mélissande Machefer, Matteo Zampieri, Marijn Van der Velde, Frank Dentener, Martin Claverie, Raphaël d'Andrimont
Assessing crop diversity across scales using high-resolution remote sensing over the European Union: first insights for agro-environmental policies. CoRR (2023)
Laura Martinez-Sanchez, Daniele Borio, Raphaël d'Andrimont, Marijn Van der Velde
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation. Ecol. Informatics 70 (2022)
Laura Martinez-Sanchez, Daniele Borio, Raphaël d'Andrimont, Marijn Van der Velde
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation. CoRR (2022)
Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Marijn Van der Velde
Monitoring crop phenology with street-level imagery using computer vision. Comput. Electron. Agric. 196 (2022)
Raphaël d'Andrimont, Astrid Verhegghen, Guido Lemoine, Pieter Kempeneers, Michele Meroni, Marijn Van der Velde
From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations. CoRR (2021)
Astrid Verhegghen, Raphaël d'Andrimont, François Waldner, Marijn Van der Velde
Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data. IGARSS (2021)
Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Marijn Van der Velde
Monitoring crop phenology with street-level imagery using computer vision. CoRR (2021)
Raphaël d'Andrimont, Guido Lemoine, Marijn Van der Velde
Targeted Grassland Monitoring at Parcel Level Using Sentinels, Street-Level Images and Field Observations. Remote. Sens. 10 (8) (2018)
Julie Transon, Raphaël d'Andrimont, Alexandre Maugnard, Pierre Defourny
Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context. Remote. Sens. 10 (2) (2018)
Raphaël d'Andrimont, Catherine Marlier, Pierre Defourny
Hyperspatial and Multi-Source Water Body Mapping: A Framework to Handle Heterogeneities from Observations and Targets over Large Areas. Remote. Sens. 9 (3) (2017)
Julie Transon, Raphaël d'Andrimont, Alexandre Maugnard, Pierre Defourny
Survey of current hyperspectral Earth observation applications from space and synergies with Sentinel-2. MultiTemp (2017)
Céline Lamarche, Maurizio Santoro, Sophie Bontemps, Raphaël d'Andrimont, Julien Radoux, Laura Giustarini, Carsten Brockmann, Jan Wevers, Pierre Defourny, Olivier Arino
Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community. Remote. Sens. 9 (1) (2017)
Julien Radoux, Guillaume Chomé, Damien Christophe Jacques, François Waldner, Nicolas Bellemans, Nicolas Matton, Céline Lamarche, Raphaël d'Andrimont, Pierre Defourny
Sentinel-2's Potential for Sub-Pixel Landscape Feature Detection. Remote. Sens. 8 (6) (2016)