Environmental drivers of spatial variation in tropical forest canopy height: Insights from NASA’s GEDI spaceborne LiDAR [PDF]
Shaoqing Liu +2 more
exaly +2 more sources
Canopy Height Estimation in Mediterranean Forests of Spain With TanDEM-X Data [PDF]
Peer ...
Cristina Gómez 0002 +7 more
openaire +4 more sources
Forest canopy height estimates, at a regional scale, help understand the forest carbon storage, ecosystem processes, the development of forest management and the restoration policies to mitigate global climate change, etc.
Sujit M. Ghosh +10 more
doaj +1 more source
Regionalization of an Existing Global Forest Canopy Height Model for Forests of the Southern United States [PDF]
A large-scale global canopy height map (GCHM) is essential for global forest aboveground biomass estimation. Four GCHMs have recently been built using data from the Geoscience Laser Altimeter System (GLAS) sensor aboard the Ice, Cloud, and land Elevation Satellite (ICESat), along with auxiliary spatial and climate information.
Nian-Wei Ku +2 more
openaire +2 more sources
Canopy height is a fundamental parameter for determining forest ecosystem functions such as biodiversity and above-ground biomass. Previous studies examining the underlying patterns of the complex relationship between canopy height and its environmental ...
Esmaeel Adrah +11 more
doaj +1 more source
Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides effective photon-counting light detection and ranging (LiDAR) data for estimating forest height across extensive geographical areas.
Jialu Zhou +6 more
doaj +1 more source
Modeling tree canopy height using machine learning over mixed vegetation landscapes
Although the random forest algorithm has been widely applied to remotely sensed data to predict characteristics of forests, such as tree canopy height, the effect of spatial non-stationarity in the modeling process is oftentimes neglected.
Hui Wang +4 more
doaj +1 more source
Improving Forest Canopy Height Estimation Using a Semi-Empirical Approach to Overcome TomoSAR Phase Errors [PDF]
Forest canopy height is an important forest indicator parameter. Synthetic aperture radar tomography (TomoSAR) is an effective method to characterize forest canopy height and describe forest 3D structure; however, the residual phase error of TomoSAR ...
Cairong Yue +3 more
core +1 more source
Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data
Background Forest canopy height is a key forest structure parameter. Precisely estimating forest canopy height is vital to improve forest management and ecological modelling.
Cheng Wang +5 more
doaj +1 more source
Regional Variation in Forest Canopy Height and Implications for Koala (Phascolarctos cinereus) Habitat Mapping and Forest Management [PDF]
Previous research has shown that the Koala (Phascolarctos cinereus) prefers larger trees, potentially making this a key factor influencing koala habitat quality.
Mariela Soto-Berelov +2 more
core +1 more source

