Results 21 to 30 of about 991,372 (223)
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
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Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data [PDF]
, 2012 This study presents and compares new methods to describe the 3D canopy structure with Airborne Laser Scanning (ALS) waveform data as well as ALS point data.
Olofsson, Kenneth, +12 more
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Remote Sensing, 2018 Several decades of research have shown that canopy gaps drive tree renewal processes in the temperate deciduous forest biome. In the literature, canopy gaps are usually defined as canopy openings that are created by partial or total tree death of one or ...
Jean-Francois Senécal +2 more
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Remote Sensing, 2023 Forest canopy height data are essential to assessing forest biomass and carbon storage, and they can be efficiently retrieved using the Advanced Terrain Laser Altimetry System (ATLAS) onboard ICESat-2. However, due to the sparse and discrete distribution
Feng Chen +5 more
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Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield
Remote Sensing, 2016 Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the ...
Youven Goulamoussène +5 more
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Image to Image Deep Learning for Enhanced Vegetation Height Modeling in Texas
Remote Sensing, 2023 Vegetation canopy height mapping is vital for forest monitoring. However, the high cost and inefficiency of manual tree measurements, coupled with the irregular and limited local-scale acquisition of airborne LiDAR data, continue to impede its widespread
Lonesome Malambo, Sorin Popescu
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Estimation of canopy structure and individual trees from laser scanning data [PDF]
, 2012 During the last fifteen years, laser scanning has emerged as a data source for forest inventory. Airborne laser scanning (ALS) provides 3D data, which may be used in an automated analysis chain to estimate vegetation properties for large areas ...
Lindberg, Eva
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PLoS ONE, 2018 In this paper we report on an automated procedure to capture and characterize the detailed structure of a crop canopy by means of stereo imaging. We focus attention specifically on the detailed characteristic of canopy height distribution-canopy shoot ...
Jinhai Cai +3 more
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Sensors, 2017 Accurate canopy structure datasets, including canopy height and fractional cover, are required to monitor aboveground biomass as well as to provide validation data for satellite remote sensing products.
Dongliang Wang +5 more
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Remote Sensing, 2023 Forest canopy height plays an important role in forest resource management and conservation. The accurate estimation of forest canopy height on a large scale is important for forest carbon stock, biodiversity, and the carbon cycle. With the technological
Xiaocheng Zhou +7 more
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