Results 1 to 10 of about 1,201,397 (155)
A high-resolution canopy height model of the Earth. [PDF]
Nat Ecol Evol, 2023 The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity.
Lang N, Jetz W, Schindler K, Wegner JD.
europepmc +10 more sources
Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing. [PDF]
Plant Methods, 2023 The effects of canopy height, leaf area index, and growth stage on the accurate monitoring of canopy height with different 3D sensors were systematically evaluated.
Zang J +9 more
europepmc +2 more sources
Research on Estimating Rice Canopy Height and LAI Based on LiDAR Data. [PDF]
Sensors (Basel), 2023 Rice canopy height and density are directly usable crop phenotypic traits for the direct estimation of crop biomass. Therefore, it is crucial to rapidly and accurately estimate these phenotypic parameters.
Jing L, Wei X, Song Q, Wang F.
europepmc +2 more sources
Correction of UAV LiDAR-derived grassland canopy height based on scan angle. [PDF]
Front Plant Sci, 2023 Grassland canopy height is a crucial trait for indicating functional diversity or monitoring species diversity. Compared with traditional field sampling, light detection and ranging (LiDAR) provides new technology for mapping the regional grassland ...
Xu C +10 more
europepmc +2 more sources
Estimating Canopy Height at Scale [PDF]
International Conference on Machine LearningWe propose a framework for global-scale canopy height estimation based on satellite data. Our model leverages advanced data preprocessing techniques, resorts to a novel loss function designed to counter geolocation inaccuracies inherent in the ground ...
Jan Pauls +8 more
semanticscholar +4 more sources
Remote Sensing of Environment, 2021 With the advent of the next generation of space-based laser altimeters, ICESat-2 and GEDI, we are entering an exciting era of active remote sensing of forests that offers unprecedented opportunities for the observation of forest structure.
Aobo Liu, Xiao Cheng
exaly +2 more sources
Canopy height model and NAIP imagery pairs across CONUS. [PDF]
Sci DataAbstractCanopy height models (CHM) provide detailed environmental vertical structure information and are an important indicator and input for ecological and geospatial applications. These models are often spatiotemporally inconsistent, necessitating additional modeling to scale them in space and time.
Allred BW, McCord SE, Morford SL.
europepmc +4 more sources
International Journal of Remote SensingThe Global Ecosystem Dynamics Investigation (GEDI) LiDAR data have been widely used to measure tree canopy heights. However, due to the altered GEDI waveform geometry in the fire-consumed canopy layers, it is challenging to accurately detect diminished ...
Tsung-Chi Chou, Xuan Zhu, Ruth Reef
semanticscholar +2 more sources
Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding. [PDF]
Front Plant Sci, 2019 Above-ground biomass (AGB) is a trait with much potential for exploitation within wheat breeding programs and is linked closely to canopy height (CH). However, collecting phenotypic data for AGB and CH within breeding programs is labor intensive, and in ...
Walter JDC +3 more
europepmc +2 more sources
Mapping forest canopy height globally with spaceborne lidar [PDF]
Journal of Geophysical Research, 2011 [1] Data from spaceborne light detection and ranging (lidar) opens the possibility to map forest vertical structure globally. We present a wall-to-wall, global map of canopy height at 1-km spatial resolution, using 2005 data from the Geoscience Laser Altimeter System (GLAS) aboard ICESat (Ice, Cloud, and land Elevation Satellite).
Marc Simard +2 more
exaly +2 more sources