Raphaël d'Andrimont

Orcid: 0000-0002-7326-7684

According to our database1, Raphaël d'Andrimont authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Crop Identification Using Deep Learning on LUCAS Crop Cover Photos.
Sensors, July, 2023

Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR).
Remote. Sens., May, 2023

Assessing crop diversity across scales using high-resolution remote sensing over the European Union: first insights for agro-environmental policies.
CoRR, 2023

Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data.
CoRR, 2023

2022
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation.
Ecol. Informatics, 2022

Monitoring crop phenology with street-level imagery using computer vision.
Comput. Electron. Agric., 2022

2021
From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations.
CoRR, 2021

Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2018
Targeted Grassland Monitoring at Parcel Level Using Sentinels, Street-Level Images and Field Observations.
Remote. Sens., 2018

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context.
Remote. Sens., 2018

2017
Hyperspatial and Multi-Source Water Body Mapping: A Framework to Handle Heterogeneities from Observations and Targets over Large Areas.
Remote. Sens., 2017

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., 2017

Survey of current hyperspectral Earth observation applications from space and synergies with Sentinel-2.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016
Sentinel-2's Potential for Sub-Pixel Landscape Feature Detection.
Remote. Sens., 2016


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