Results 21 to 30 of about 125,509 (280)
ESTIMATING TREE CANOPY HEIGHT IN DENSELY FOREST-COVERED MOUNTAINOUS AREAS USING GEDI SPACEBORNE FULL-WAVEFORM DATA [PDF]
Tree canopy height is an important parameter for estimating forest carbon stock, and mountainous areas with dense vegetation cover are the main distribution areas of trees, so it is important to accurately measure the forest canopy height in mountainous ...
C. Liu, S. Wang
doaj +1 more source
Canopy Height Estimation in Mediterranean Forests of Spain With TanDEM-X Data [PDF]
Peer ...
Cristina Gómez 0002 +7 more
openaire +4 more sources
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
High-resolution forest canopy height estimation in an African blue carbon ecosystem. [PDF]
AbstractMangrove forests are one of the most productive and carbon dense ecosystems that are only found at tidally inundated coastal areas. Forest canopy height is an important measure for modeling carbon and biomass dynamics, as well as land cover change. By taking advantage of the flat terrain and dense canopy cover, the present study derived digital
Lagomasino D +3 more
europepmc +3 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
Global patterns and determinants of forest canopy height.
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 ...
S. Tao +4 more
semanticscholar +3 more sources
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
Mapping global forest canopy height through integration of GEDI and Landsat data
Consistent, large-scale operational monitoring of forest height is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives.
P. Potapov +13 more
semanticscholar +1 more source
Continuous large-scale mapping of forest canopy height is crucial for estimating and reporting forest carbon content, analyzing forest degradation and restoration, or to model ecosystem variables such as aboveground biomass.
C. Sothe +4 more
semanticscholar +1 more source

