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Global patterns and determinants of forest canopy height [PDF]

open access: yesEcology, 2016
AbstractForest canopy height is an important indicator of forest biomass, species diversity, and other ecosystem functions; however, the climatic determinants that underlie its global patterns have not been fully explored. Using satellite LiDAR‐derived forest canopy heights and field measurements of the world's giant trees, combined with climate ...
Shengli, Tao   +4 more
openaire   +3 more sources
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A comparison between various definitions of forest stand height and aerodynamic canopy height

Agricultural and Forest Meteorology, 2010
A consistent measure of forest canopy height is required for among-site comparisons of meteorological properties and for comparison of model results such as distributions of wind and other scalars calculated by large eddy simulations with observations.
Taro Nakai   +2 more
exaly   +2 more sources

SAR radargrammetry and scanning LiDAR in predicting forest canopy height

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Our objective was to evaluate the accuracy of estimating forest canopy height when using scanning LiDAR and TerraSAR-X stereo radargrammetry. The study area was located in southern Finland. We used SAR radargrammetry and LiDAR to extract 3D point clouds to derive predictors used in the non-parametric prediction of forest canopy height.
Vastaranta, Mikko   +7 more
openaire   +3 more sources

Experiment on extracting forest canopy height from Worldview-2

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Taking advantage of rational polynomial coefficient (RPC) data delivered along with the very high resolution satellite (VHRS) Worldview-2 images, we proposed an easy RPC adjustment method for the commercial software ENVI to generate digital surface model (DSM) with only one ground control point (GCP). The DSM was then used to derive canopy crown height
Huaguo Huang, Biao Cao
openaire   +1 more source

The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data [PDF]

open access: yesRemote Sensing, 2018
Canopy height is an important forest structure parameter for understanding forest ecosystem and improving global carbon stock quantification accuracy.
Liu Jin, Yanjun Su, Shang Gao
exaly   +2 more sources

Water availability predicts forest canopy height at the global scale

Ecology Letters, 2015
AbstractThe tendency of trees to grow taller with increasing water availability is common knowledge. Yet a robust, universal relationship between the spatial distribution of water availability and forest canopy height (H) is lacking. Here, we created a global water availability map by calculating an annual budget as the difference between precipitation
Klein, Tamir   +2 more
openaire   +4 more sources

A backscattering data simulation model for forest canopy based on canopy height information

2018 IEEE Radar Conference (RadarConf18), 2018
The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed.
Qiang Gao   +3 more
openaire   +1 more source

Modeling forest canopy heights: The effects of canopy shape

Remote Sensing of Environment, 1997
Abstract Three-dimensional models that represent the top-of-canopy forest height structure were developed to simulate airborne laser profiling responses along forested transects. The simulator which produced these 3-D models constructed individual tree crowns according to a tree's total height, height to first branch, crown diameter, and crown shape (
openaire   +1 more source

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