Pierre Couteron

According to our database1, Pierre Couteron authored at least 11 papers between 2007 and 2021.

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

Timeline

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Bibliography

2021
Fast Unsupervised Multi-Scale Characterization of Urban Landscapes Based on Earth Observation Data.
Remote. Sens., 2021

2020
Airborne Lidar Sampling Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes.
Remote. Sens., 2020

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

2014
Linear vs non-linear learning methods A comparative study for forest above ground biomass, estimation from texture analysis of satellite images.
ARIMA J., 2014

2013
Stem Volume and Above-Ground Biomass Estimation of Individual Pine Trees From LiDAR Data: Contribution of Full-Waveform Signals.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

2012
A New Method for Incorporating Hillslope Effects to Improve Canopy-Height Estimates From Large-Footprint LIDAR Waveforms.
IEEE Geosci. Remote. Sens. Lett., 2012

Very high resolution satellite images for parameterization of tree-scale forest process-based model.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Exploiting fullwaveform lidar signals to estimate timber volume and above-ground biomass of individual trees.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Tree crown detection in high resolution optical images during the early growth stages of Eucalyptus plantations in Brazil.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Assessment of tree and crown heights of a maritime pine forest at plot level using a fullwaveform UltraViolet Lidar prototype.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

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


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