Emmanuelle Vaudour

Orcid: 0000-0002-4703-3702

According to our database1, Emmanuelle Vaudour authored at least 20 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Using Machine-Learning Algorithms to Predict Soil Organic Carbon Content from Combined Remote Sensing Imagery and Laboratory Vis-NIR Spectral Datasets.
Remote. Sens., September, 2023

Remote Sensing Data for Digital Soil Mapping in French Research - A Review.
Remote. Sens., June, 2023

Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France.
Remote. Sens., May, 2023

2022
Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview.
Remote. Sens., 2022

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.
Remote. Sens., 2021

Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland.
Remote. Sens., 2021

Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-2.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2019
The Impact of Acquisition Date on the Prediction Performance of Topsoil Organic Carbon from Sentinel-2 for Croplands.
Remote. Sens., 2019

Satellite data integration for soil clay content modelling at a national scale.
Int. J. Appl. Earth Obs. Geoinformation, 2019

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.
Sensors, 2018

Potential of Sentinel-1 for Estimating the Soil Roughness Over Agricultural Soils.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Soil surface roughness measurement: A new fully automatic photogrammetric approach applied to agricultural bare fields.
Comput. Electron. Agric., 2017

Retrospective 70 y-spatial analysis of repeated vine mortality patterns using ancient aerial time series, Pléiades images and multi-source spatial and field data.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2016
Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images.
Int. J. Appl. Earth Obs. Geoinformation, 2015

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.
Int. J. Appl. Earth Obs. Geoinformation, 2014

Mapping tillage operations over a peri-urban region using combined SPOT4 and ASAR/ENVISAT images.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2013
Toward an Operational Bare Soil Moisture Mapping Using TerraSAR-X Data Acquired Over Agricultural Areas.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Mapping tillage practices over a peri-urban region using artificial neural networks applied to combined spot and asar/envisat images.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013


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