Nicolas Barbier
Orcid: 0000-0002-5323-3866
According to our database1,
Nicolas Barbier
authored at least 16 papers
between 2007 and 2022.
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Bibliography
2022
Stability in time and consistency between atmospheric corrections: Assessing the reliability of Sentinel-2 products for biodiversity monitoring in tropical forests.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Peering through the thicket: Effects of UAV LiDAR scanner settings and flight planning on canopy volume discovery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Fast Unsupervised Multi-Scale Characterization of Urban Landscapes Based on Earth Observation Data.
Remote. Sens., 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Airborne Lidar Sampling Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes.
Remote. Sens., 2020
2018
In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
2017
Inverting Aboveground Biomass-Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery.
Remote. Sens., 2017
2016
Equatorial Forests Display Distinct Trends in Phenological Variation: A Time-Series Analysis of Vegetation Index Data from Three Continents.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana.
Remote. Sens., 2016
2015
Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne LiDAR data: Application on French Guiana.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions.
Remote. Sens., 2014
Coupling potential of ICESat/GLAS and SRTM for the discrimination of forest landscape types in French Guiana.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2008
Exploring the Biophysical Drivers of Amazon Phenology: Preparing Data Sets to Improve Dynamic Global Vegetation Models.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Monitoring canopy grain of tropical forest using Fourier-based textural ordination (FOTO) of very high resolution images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007