Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers
- 1 January 2009
- journal article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 113 (1), 182-196
- https://doi.org/10.1016/j.rse.2008.09.009
Abstract
No abstract availableKeywords
This publication has 47 references indexed in Scilit:
- Estimation of stem volume using laser scanning-based canopy height metricsForestry: An International Journal of Forest Research, 2006
- Measuring biomass and carbon in delaware using an airborne profiling LIDARScandinavian Journal of Forest Research, 2004
- Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimatorsScandinavian Journal of Forest Research, 2004
- Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanningScandinavian Journal of Forest Research, 2004
- Practical large-scale forest stand inventory using a small-footprint airborne scanning laserScandinavian Journal of Forest Research, 2004
- Modeling lidar waveforms with time‐dependent stochastic radiative transfer theory for remote estimations of forest structureJournal of Geophysical Research: Solid Earth, 2003
- Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window sizeComputers and Electronics in Agriculture, 2002
- Estimating tree heights and number of stems in young forest stands using airborne laser scanner dataRemote Sensing of Environment, 2001
- Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine standsForest Ecology and Management, 2000
- Modelling the relationship between tree diameters and heights using SBB distributionForest Ecology and Management, 1999