Mapping tillage practices over a peri-urban region using artificial neural networks applied to combined spot and asar/envisat images. - Emmanuelle Vaudour; Nicolas N. Baghdadi; Jean-Marc Gilliot (WHISPERS, 2013)

Toward an Operational Bare Soil Moisture Mapping Using TerraSAR-X Data Acquired Over Agricultural Areas. - Maëlle Aubert; Nicolas N. Baghdadi; Mehrez Zribi; Kenji Ose; Mahmoud El Hajj; Emmanuelle Vaudour; Enrique González-Sosa (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Mapping tillage operations over a peri-urban region using combined SPOT4 and ASAR/ENVISAT images. - Emmanuelle Vaudour; Nicolas N. Baghdadi; Jean-Marc Gilliot (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Uncertainty of soil reflectance retrieval from SPOT and RapidEye multispectral satellite images using a per-pixel bootstrapped empirical line atmospheric correction over an agricultural region. - Emmanuelle Vaudour; Jean-Marc Gilliot; Liliane Bel; Laëtitia Bréchet; J. Hamiache; Dalila Hadjar; Y. Lemonnier (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images. - Emmanuelle Vaudour; Paul-Emile Noirot-Cosson; Olivier Membrive (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra. - Emmanuelle Vaudour; Jean-Marc Gilliot; Liliane Bel; Josias Lefevre; Kacem Chehdi (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Retrospective 70 y-spatial analysis of repeated vine mortality patterns using ancient aerial time series, Pléiades images and multi-source spatial and field data. - Emmanuelle Vaudour; Léa Leclercq; Jean-Marc Gilliot; Bernoît Chaignon (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Soil surface roughness measurement: A new fully automatic photogrammetric approach applied to agricultural bare fields. - Jean-Marc Gilliot; Emmanuelle Vaudour; Joël Michelin (Comput. Electron. Agric., 2017)

Potential of Sentinel-1 for Estimating the Soil Roughness Over Agricultural Soils. - Nicolas N. Baghdadi; Mohammad El-Hajj; Mohammad Choker; Mehrez Zribi; Hassan Bazzi; Emmanuelle Vaudour; Jean-Marc Gilliot; Safa Bousbih; Dav Ebengo Mwampongo (IGARSS, 2018)

Predicting Key Agronomic Soil Properties with UV-Vis Fluorescence Measurements Combined with Vis-NIR-SWIR Reflectance Spectroscopy: A Farm-Scale Study in a Mediterranean Viticultural Agroecosystem. - Emmanuelle Vaudour; Zoran G. Cerovic; Dav M. Ebengo; Gwendal Latouche (Sensors, 2018)

Satellite data integration for soil clay content modelling at a national scale. - Thomas Loiseau; Songchao Chen; Vera L. Mulder; Mercedes Román Dobarco; Anne C. Richer-de-Forges; Sébastien Lehmann; Hocine Bourennane; Nicolas P. A. Saby; Manuel P. Martin; Emmanuelle Vaudour; Cécile Gomez; Philippe Lagacherie; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2019)

The Impact of Acquisition Date on the Prediction Performance of Topsoil Organic Carbon from Sentinel-2 for Croplands. - Emmanuelle Vaudour; Cécile Gomez; Thomas Loiseau; Nicolas N. Baghdadi; Benjamin Loubet; Dominique Arrouays; Leïla Ali; Philippe Lagacherie (Remote. Sens., 2019)

Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-2. - Henry Rivas; Nicolas Delbart; Catherine Ottlé; Fabienne Maignan; Emmanuelle Vaudour (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands. - Emmanuelle Vaudour; Cécile Gomez; Philippe Lagacherie; Thomas Loiseau; Nicolas N. Baghdadi; Diego Urbina-Salazar; Benjamin Loubet; Dominique Arrouays (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland. - Maxence Dodin; Hunter D. Smith; Florent Levavasseur; Dalila Hadjar; Sabine Houot; Emmanuelle Vaudour (Remote. Sens., 2021)

Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates. - Diego Urbina-Salazar; Emmanuelle Vaudour; Nicolas N. Baghdadi; Eric Ceschia; Anne C. Richer-de-Forges; Sébastien Lehmann; Dominique Arrouays (Remote. Sens., 2021)

Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview. - Emmanuelle Vaudour; Asa Gholizadeh; Fabio Castaldi; Mohammadmehdi Saberioon; Lubos Boruvka; Diego Urbina-Salazar; Youssef Fouad; Dominique Arrouays; Anne C. Richer-de-Forges; James Kobina Mensah Biney; Johanna Wetterlind; Bas van Wesemael (Remote. Sens., 2022)

Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France. - Diego Urbina-Salazar; Emmanuelle Vaudour; Anne C. Richer-de-Forges; Songchao Chen; Guillaume Martelet; Nicolas N. Baghdadi; Dominique Arrouays (Remote. Sens., 2023)

Remote Sensing Data for Digital Soil Mapping in French Research - A Review. - Anne C. Richer-de-Forges; Qianqian Chen; Nicolas N. Baghdadi; Songchao Chen; Cécile Gomez; Stéphane Jacquemoud; Guillaume Martelet; Vera L. Mulder; Diego Urbina-Salazar; Emmanuelle Vaudour; Marie Weiss; Jean-Pierre Wigneron; et al. (Remote. Sens., 2023)

Using Machine-Learning Algorithms to Predict Soil Organic Carbon Content from Combined Remote Sensing Imagery and Laboratory Vis-NIR Spectral Datasets. - Hayfa Zayani; Youssef Fouad; Didier Michot; Zeineb Kassouk; Nicolas N. Baghdadi; Emmanuelle Vaudour; Zohra Lili-Chabaane; Christian Walter (Remote. Sens., 2023)

Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V. - Henry Rivas; Nicolas Delbart; Fabienne Maignan; Emmanuelle Vaudour; Catherine Ottlé (Remote. Sens., 2024)

Farm-scale mapping of compost and digestate spreadings from Sentinel-2 and Sentinel-1. - Maxence Dodin; Florent Levavasseur; Antoine Savoie; Lucie Martin; Emmanuelle Vaudour (Int. J. Appl. Earth Obs. Geoinformation, 2025)