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Raphaël d'Andrimont
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2020 – today
- 2024
- [j10]Laura Martinez-Sanchez
, Linda See
Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model. Environ. Model. Softw. 172: 105931 (2024) - 2023
- [j9]Pieter Kempeneers
Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR). Remote. Sens. 15(9): 2303 (2023) - [j8]Momchil Yordanov, Raphaël d'Andrimont
Crop Identification Using Deep Learning on LUCAS Crop Cover Photos. Sensors 23(14): 6298 (2023) - [i6]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 abs/2305.04994 (2023) - [i5]Valentin Barrière, Martin Claverie, Maja Schneider, Guido Lemoine, Raphaël d'Andrimont:
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data. CoRR abs/2305.12011 (2023) - [i4]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 abs/2311.04551 (2023) - 2022
- [j7]Raphaël d'Andrimont
Monitoring crop phenology with street-level imagery using computer vision. Comput. Electron. Agric. 196: 106866 (2022) - [j6]Laura Martinez-Sanchez, Daniele Borio, Raphaël d'Andrimont
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation. Ecol. Informatics 70: 101757 (2022) - [i3]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 abs/2201.08816 (2022) - 2021
- [c2]Astrid Verhegghen, Raphaël d'Andrimont
Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data. IGARSS 2021: 1990-1993 - [i2]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 abs/2105.09261 (2021) - [i1]Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Marijn Van der Velde:
Monitoring crop phenology with street-level imagery using computer vision. CoRR abs/2112.09190 (2021)
2010 – 2019
- 2018
- [j5]Julie Transon
Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context. Remote. Sens. 10(2): 157 (2018) - [j4]Raphaël d'Andrimont
Targeted Grassland Monitoring at Parcel Level Using Sentinels, Street-Level Images and Field Observations. Remote. Sens. 10(8): 1300 (2018) - 2017
- [j3]Céline Lamarche, Maurizio Santoro
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): 36 (2017) - [j2]Raphaël d'Andrimont
Hyperspatial and Multi-Source Water Body Mapping: A Framework to Handle Heterogeneities from Observations and Targets over Large Areas. Remote. Sens. 9(3): 211 (2017) - [c1]Julie Transon, Raphaël d'Andrimont
Survey of current hyperspectral Earth observation applications from space and synergies with Sentinel-2. MultiTemp 2017: 1-8 - 2016
- [j1]Julien Radoux, Guillaume Chomé
Sentinel-2's Potential for Sub-Pixel Landscape Feature Detection. Remote. Sens. 8(6): 488 (2016)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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