Open Access
Issue |
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
|
|
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Article Number | 22005 | |
Number of page(s) | 4 | |
Section | Marine and Terrestrial Lidar | |
DOI | https://doi.org/10.1051/epjconf/201611922005 | |
Published online | 07 June 2016 |
- M. A. Lefsky, (2010), “A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System,” Geophysical Research Letters, vol. 37, p. L15401. [CrossRef] [Google Scholar]
- J. B. Drake, et al. (2002), “Estimation of tropical forest structural characteristics using large-footprint lidar,” Remote Sensing of Environment, vol. 79, pp. 305-319. [CrossRef] [Google Scholar]
- G. Zhang, et al. (2014), “Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data,” Remote Sensing of Environment, vol. 151, pp. 44-56. [CrossRef] [Google Scholar]
- J. B. Drake, (2001), “Estimation of tropical forest aboveground biomass using large-footprint lidar,” Doctoral Dissertation--University of Maryland, College Park, p. 184. [Google Scholar]
- I. Fayad, et al. (2014), “Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions,” Remote Sensing, vol. 6, pp. 11883-11914. [CrossRef] [Google Scholar]
- M. Simard, et al. (2011), “Mapping forest canopy height globally with spaceborne lidar,” Journal of Geophysical Research: Biogeosciences, vol. 116, p. G04021. [Google Scholar]
- J. E. Kalshoven et al. (1993), “Remote sensing of the Earth’s surface with an airborne polarized laser,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 31, pp. 438-446. [CrossRef] [Google Scholar]
- M. A. Lefsky, et al., (2007), “Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms,” Journal of Applied Remote Sensing, vol. 1, pp. 013537-013537-18. [Google Scholar]
- J. A. B. Rosette, et al., (2008), “Vegetation height estimates for a mixed temperate forest using satellite laser altimetry,” International Journal of Remote Sensing, vol. 29, pp. 1475-1493. [CrossRef] [Google Scholar]
- N. Baghdadi, et al. (2014), “Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil,” Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 7, pp. 290-299. [CrossRef] [Google Scholar]
- M. A. Lefsky, et al. (2005), “Estimates of forest canopy height and aboveground biomass using ICESat,” Geophysical Research Letters, vol. 32, p. L22S02. [CrossRef] [Google Scholar]
- X. Lu, et al. (2014), “A Super-Resolution Laser Altimetry Concept,” Geoscience and Remote Sensing Letters, IEEE, vol. 11, pp. 298-302. [CrossRef] [Google Scholar]
- Y. Hu, et al. (2007), “Elevation information in tail (EIT) technique for lidar altimetry,” Opt. Express, vol. 15, pp. 14504-14515 [CrossRef] [PubMed] [Google Scholar]
- X. Lu et al. (2014), “Accuracy of land surface elevation from CALIPSO mission data,” Optical Engineering, vol. 54, pp. 031102-031102. [Google Scholar]
- X. Lu, et al. (2014), “Ocean subsurface studies with the CALIPSO spaceborne lidar,” Journal of Geophysical Research: Oceans, vol. 119, pp. 4305-4317. [Google Scholar]
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