Results 21 to 30 of about 119,525 (294)
International Journal of Digital Earth, 2023 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
International Journal of Applied Earth Observations and Geoinformation, 2021 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
High-resolution forest canopy height estimation in an African blue carbon ecosystem. [PDF]
Remote Sens Ecol Conserv, 2015 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
Remote Sensing, 2020 Forest canopy height is an indispensable forest vertical structure parameter for understanding the carbon cycle and forest ecosystem services. A variety of studies based on spaceborne Lidar, such as ICESat, ICESat-2 and airborne Lidar, were conducted to ...
Xiaojuan Lin +6 more
doaj +1 more source
Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data
Forest Ecosystems, 2020 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
Remote Sensing, 2021 Tropical dry forest is vulnerable to increased climate variability with more frequent and severe storms. Studies of hurricane impact on tropical dry forest often focused on individual tree traits. How trees in tropical dry forests work together to combat
Qiong Gao, Mei Yu
doaj +1 more source
Forest structure dependency analysis of L-band SAR backscatter [PDF]
PeerJ, 2020 Forest structure plays an important role in forest biomass inversion using synthetic aperture radar (SAR) backscatter. Synthetic aperture radar (SAR) sensors with long-wavelength have the potentiality to provide reliable and timely forest biomass ...
Yongjie Ji +4 more
doaj +2 more sources
Light-related variation in sapling architecture of three shade-tolerant tree species of the Mexican rain forest [PDF]
, 2008 The crown architecture of three shade-tolerant tree species (two subcanopy and one mid-canopy) was analyzed in relation to the light regime of the forest understorey.
Bongers, F. +2 more
core +2 more sources
Remote Sensing, 2020 Canopy height serves as a good indicator of forest carbon content. Remote sensing-based direct estimations of canopy height are usually based on Light Detection and Ranging (LiDAR) or Synthetic Aperture Radar (SAR) interferometric data.
Sujit Madhab Ghosh +2 more
doaj +1 more source
Ice storm effects on the canopy structure of a northern hardwood forest after 8 years [PDF]
, 2009 Ice storms can cause severe damage to forest canopies, resulting in differential mortality among tree species and size classes and leading to long-lasting changes in the vertical structure and composition of the forest.
Hamburg, Steven P. +2 more
core +3 more sources