Geoscience Laser Altimeter System (GLAS) on the ICESat Mission: On-orbit measurement performance, Geophysical Research Letters, pp.21-23, 2005. ,
DOI : 10.1029/2005GL024028
Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda, Remote Sensing of Environment, vol.117, pp.366-380, 2012. ,
DOI : 10.1016/j.rse.2011.10.012
An integrated pan-tropical biomass map using multiple reference datasets, Global Change Biology, vol.128, issue.20, 2015. ,
DOI : 10.1111/gcb.13139
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nature Climate Change, vol.2, issue.3, pp.182-185, 2012. ,
DOI : 10.1023/A:1010933404324
A first map of tropical Africa's aboveground biomass derived from satellite imagery, Environmental Research Letters, vol.3, 2008. ,
Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.1, pp.290-299, 2014. ,
DOI : 10.1109/JSTARS.2013.2261978
URL : https://hal.archives-ouvertes.fr/hal-00908852
Evaluation of ALOS/PALSAR L-Band Data for the Estimation of <italic>Eucalyptus</italic> Plantations Aboveground Biomass in Brazil, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.8, issue.8, p.p. in press, 2014. ,
DOI : 10.1109/JSTARS.2014.2353661
The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests, Global Ecology and Biogeography, vol.143, issue.1, pp.72-84, 2010. ,
DOI : 10.1111/j.1466-8238.2009.00493.x
URL : https://hal.archives-ouvertes.fr/halsde-00454134
The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography, ISPRS Journal of Photogrammetry and Remote Sensing, vol.54, issue.2-3, pp.115-122, 1999. ,
DOI : 10.1016/S0924-2716(99)00002-7
The airborne SAR-system: SETHI-airborne microwave remote sensing imaging system, Synthetic Aperture Radar (EUSAR) 7th European Conference on, pp.1-4, 2008. ,
Regional aboveground forest biomass using airborne and spaceborne LiDAR in Qu??bec, Remote Sensing of Environment, vol.112, issue.10, pp.3876-3890, 2008. ,
DOI : 10.1016/j.rse.2008.06.003
Random forests, Machine learning, pp.5-32, 2001. ,
SRTM C-Band and ICESat Laser Altimetry Elevation Comparisons as a Function of Tree Cover and Relief, Photogrammetric Engineering & Remote Sensing, vol.72, issue.3, pp.287-298, 2006. ,
DOI : 10.14358/PERS.72.3.287
Tree allometry and improved estimation of carbon stocks and balance in tropical forests, Oecologia, vol.24, issue.D16, pp.87-99, 2005. ,
DOI : 10.1007/s00442-005-0100-x
Improved allometric models to estimate the aboveground biomass of tropical trees, Global change biology, pp.3177-3190, 2014. ,
DOI : 10.1111/gcb.12629
Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry', Remote Sensing of Environment, pp.1610-1627, 2010. ,
Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors, Remote Sensing of Environment, vol.115, issue.11, pp.2931-2942, 2011. ,
DOI : 10.1016/j.rse.2010.08.029
Predicting tropical forest stand structure parameters from Fourier transform of very high-resolution remotely sensed canopy images, Journal of Applied Ecology, vol.269, issue.3, pp.1121-1128, 2005. ,
DOI : 10.1111/j.1365-2664.2005.01097.x
URL : https://hal.archives-ouvertes.fr/hal-00016130
Carte géologique de la France à 1/500 000, 2001. ,
Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Journal of Geophysical Research, vol.115, pp.0-09, 2010. ,
ICESat Full-Waveform Altimetry Compared to Airborne Laser Scanning Altimetry Over The Netherlands, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.10, pp.3365-3378, 2009. ,
DOI : 10.1109/TGRS.2009.2021468
Regional scale rain-forest height mapping using Regression-Kriging of Spaceborne and Airborne LiDAR data: Application on French Guiana', remote sensing, 2016. ,
Relationships between forest structure and vegetation indices in Atlantic Rainforest, Forest Ecology and Management, vol.218, issue.1-3, pp.353-362, 2005. ,
DOI : 10.1016/j.foreco.2005.08.036
Fusion of pan-tropical biomass maps using weighted averaging and regional calibration data, International Journal of Applied Earth Observation and Geoinformation, vol.31, pp.13-24, 2014. ,
DOI : 10.1016/j.jag.2014.02.011
Broad-scale spatial pattern of forest landscape types in the Guiana Shield, International Journal of Applied Earth Observation and Geoinformation, vol.13, issue.3, pp.357-367, 2011. ,
DOI : 10.1016/j.jag.2011.01.004
URL : https://hal.archives-ouvertes.fr/halsde-00676329
Geostatistics for Natural Resources Evaluation, 1997. ,
Landform and landscape mapping, French Guiana (South America), Journal of Maps, vol.27, issue.2, pp.325-335, 2013. ,
DOI : 10.1080/17445647.2013.785371
URL : https://hal.archives-ouvertes.fr/hal-01268197
Data from: Spatial structure of above-ground biomass limits accuracy of carbon mapping in rainforest but large scale forest inventories can help to overcome', Dryad Digital Repository, 2015. ,
Spatial Structure of Above-Ground Biomass Limits Accuracy of Carbon Mapping in Rainforest but Large Scale Forest Inventories Can Help to Overcome, PLOS ONE, vol.24, issue.8, p.138456, 2015. ,
DOI : 10.1371/journal.pone.0138456.s004
URL : https://hal.archives-ouvertes.fr/hal-01269305
A generic framework for spatial prediction of soil variables based on regression-kriging, Geoderma, vol.120, issue.1-2, pp.75-93, 2004. ,
DOI : 10.1016/j.geoderma.2003.08.018
Influence of surface topography on ICESat/GLAS forest height estimation and waveform shape', Remote Sensing, pp.2210-2235, 2012. ,
Impact of Precipitation Patterns on Biomass and Species Richness of Annuals in a Dry Steppe, PloS one, p.125300, 2015. ,
The DLR airborne SAR project E-SAR', In Geoscience and Remote Sensing Symposium, 1996. IGARSS'96.'Remote Sensing for a Sustainable Future, pp.1624-1628, 1996. ,
Estimating vertical error of SRTM and map-based DEMs using ICESat altimetry data in the eastern Tibetan Plateau, International Journal of Remote Sensing, vol.22, issue.18, pp.5177-5196, 2011. ,
DOI : 10.1029/2006JC003978
Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.6, pp.581-290, 2010. ,
DOI : 10.1016/j.isprsjprs.2010.09.001
Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA, Remote Sensing of Environment, vol.115, issue.11, pp.2776-2785, 2011. ,
DOI : 10.1016/j.rse.2010.08.026
A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System, Geophysical Research Letters, vol.45, issue.6, p.15401, 2010. ,
DOI : 10.1029/2010GL043622
Lidar Remote Sensing for Ecosystem Studies, BioScience, vol.52, issue.1, pp.19-30, 2002. ,
DOI : 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2
Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms, Journal of Applied Remote Sensing, vol.1, pp.13537-013537, 2007. ,
Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates, International Journal of Forestry Research, vol.129, issue.3-4, pp.1-16, 2012. ,
DOI : 10.1109/TGRS.2004.831889
Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites, Global Ecology and Biogeography, vol.2, issue.8, pp.935-946, 2014. ,
DOI : 10.1111/geb.12168
Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps', Carbon balance and management, pp.1-13, 2013. ,
Mapping tropical forest biomass with radar and spaceborne LiDAR in Lop?? National Park, Gabon: overcoming problems of high biomass and persistent cloud, Biogeosciences, vol.9, issue.1, pp.179-191, 2012. ,
DOI : 10.5194/bg-9-179-2012
Error propagation in biomass estimation in tropical forests, Methods in Ecology and Evolution, pp.175-183, 2013. ,
DOI : 10.1111/j.2041-210x.2012.00266.x
Estimating Siberian timber volume using MODIS and ICESat/GLAS, Remote Sensing of Environment, vol.113, issue.3, pp.691-701, 2009. ,
DOI : 10.1016/j.rse.2008.11.010
Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing, Journal of Geophysical Research: Biogeosciences, vol.34, issue.3-4, pp.0-11, 2010. ,
DOI : 10.1016/S0264-3707(02)00042-X
Height Above the Nearest Drainage ??? a hydrologically relevant new terrain model, Journal of Hydrology, vol.404, issue.1-2, pp.13-29, 2011. ,
DOI : 10.1016/j.jhydrol.2011.03.051
Relationship between LiDAR-derived forest canopy height and Landsat images, International Journal of Remote Sensing, vol.29, issue.5, pp.1261-1280, 2010. ,
DOI : 10.1016/S0034-4257(03)00139-1
Canopy texture analysis for large-scale assessments of tropical forest stand structure and biomass', Treetops at Risk, pp.237-245, 2013. ,
Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images, Remote Sensing of Environment, vol.109, issue.3, pp.379-392, 2007. ,
DOI : 10.1016/j.rse.2007.01.009
URL : https://hal.archives-ouvertes.fr/hal-00164854
A review of remote sensing technology in support of the Kyoto Protocol, Environmental Science & Policy, vol.6, issue.5, pp.441-445, 2003. ,
DOI : 10.1016/S1462-9011(03)00070-4
Vegetation height estimates for a mixed temperate forest using satellite laser altimetry, International Journal of Remote Sensing, vol.29, issue.5, pp.1475-1493, 2008. ,
DOI : 10.1016/S0264-3707(02)00042-X
Benchmark map of forest carbon stocks in tropical regions across three continents, Proceedings of the National Academy of Sciences, pp.9899-9904, 2011. ,
DOI : 10.1073/pnas.1019576108
L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest, Remote Sensing of Environment, vol.115, issue.11, pp.2874-2886, 2011. ,
DOI : 10.1016/j.rse.2010.03.018
Analysis and prediction of soil properties using local regression-kriging, Geoderma, vol.171, issue.172, pp.16-23, 2012. ,
DOI : 10.1016/j.geoderma.2011.02.010
Forest biomass mapping from lidar and radar synergies, Remote Sensing of Environment, vol.115, issue.11, pp.2906-2916, 2011. ,
DOI : 10.1016/j.rse.2011.03.021
Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data, Remote Sensing of Environment, vol.112, issue.1, pp.107-117, 2008. ,
DOI : 10.1016/j.rse.2006.09.036
Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest Biomass, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.2, pp.967-979, 2014. ,
DOI : 10.1109/TGRS.2013.2246170
Relating P-Band SAR Intensity to Biomass for Tropical Dense Forests in Hilly Terrain: <inline-formula><tex-math notation="LaTeX">$\gamma^0$</tex-math></inline-formula> or <inline-formula><tex-math notation="LaTeX">$t^0$</tex-math></inline-formula>?, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.8, issue.1, pp.214-223, 2015. ,
DOI : 10.1109/JSTARS.2014.2359231
Lidar sampling for large-area forest characterization: A review, Remote Sensing of Environment, vol.121, pp.196-209, 2012. ,
DOI : 10.1016/j.rse.2012.02.001
A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing, Remote Sensing of Environment, vol.128, pp.289-298, 2013. ,
DOI : 10.1016/j.rse.2012.10.017