Results 51 to 60 of about 2,238,427 (150)

Canopy influence on trace metal atmospheric inputs on forest ecosystems: Speciation in throughfall [PDF]

open access: yes, 2010
Trace Metal (TM: Cd, Cu, Ni, Pb, Sb and Zn) atmospheric inputs have been studied on six forested sites. In order to evaluate canopy interaction with atmospheric inputs, TM have been measured in both Open Field Precipitation (OFP) and Throughfall (TF ...
Probst, A.   +6 more
core   +1 more source

Pine Forest Height Inversion Using Single-Pass X-Band Pol-InSAR Data [PDF]

open access: yes, 2007
International audienceA sparse pine forest is investigated at X-band on a single-pass polarimetric synthetic aperture radar interferometry (PolInSAR) data set using HH and HV channels.
Dubois-Fernandez, Pascale C.   +4 more
core   +1 more source

Tracking Southern China’s Forest Growth from Space

open access: yesJournal of Remote Sensing
Forest canopy height reflects the vertical structure of forests and gives indications on the growth capacity of trees and the level of forest biomass.
Jingyi Chang   +8 more
doaj   +1 more source

Potential of forest height estimation using X band by means of two different inversion scenarios [PDF]

open access: yes, 2007
Polarimetric SAR Interferometry (Pol-InSAR) is a powerful remote sensing method for forest height estimation by using the random volume over ground model (RVoG).
Hajnsek, Irena   +3 more
core  

Correcting Underestimation and Overestimation in PolInSAR Forest Canopy Height Estimation Using Microwave Penetration Depth

open access: yes, 2022
PolInSAR is an active remote sensing technique that is widely used for forest canopy height estimation, with the random volume over ground (RVoG) model being the most classic and effective forest canopy height inversion approach.
Cairong Yue   +4 more
core   +1 more source

Scenario-Adaptive Multisource LiDAR Sample Fusion for Forest Canopy-Height Retrieval Using a Machine-Learning-Based Dynamic Ensemble Selection Algorithm

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Forest canopy height is fundamental for characterizing forest structure and assessing biomass and ecosystem functions, but regional mapping in mountainous forests remains challenged by limited and unevenly distributed footprint samples, which can reduce ...
Pengfei Zhang   +3 more
doaj   +1 more source

A Deep Learning Approach for High-Resolution Canopy Height Mapping in Indonesian Borneo by Fusing Multi-Source Remote Sensing Data

open access: yesRemote Sensing
Accurate mapping of forest canopy height is essential for monitoring forest structure, assessing biodiversity, and informing sustainable management practices.
Andrew J. Chamberlin   +10 more
doaj   +1 more source

Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR

open access: yesRemote Sensing, 2014
Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior.
Birgit Peterson, Kurtis J. Nelson
doaj   +1 more source

Using multiscale lidar to determine variation in canopy structure from African forest elephant trails [PDF]

open access: yes
Recently classified as a unique species by the IUCN, African forest elephants (Loxodonta cyclotis) are critically endangered due to severe poaching. With limited knowledge about their ecological role due to the dense tropical forests they inhabit in ...
Jantz, Patrick   +17 more
core   +1 more source

Accuracy of Vegetation Height and Terrain Elevation Derived from Terrestrial Ecosystem Carbon Inventory Satellite in Forested Areas

open access: yesApplied Sciences
Forest ecosystems serve as pivotal components of the global carbon cycle, with canopy height representing a critical biophysical parameter for quantifying ecosystem functionality, thereby holding substantial implications for forest resource management ...
Zhao Chen, Sijie He, Anmin Fu
doaj   +1 more source

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