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  1. 2 paź 2024 · We show that leaf angle dynamics systematically confound widely applied vegetation indices. Moreover, we demonstrate that these effects are not random but tightly linked to abiotic...

  2. 15 sie 2023 · In this short communication, we explore the potential of machine learning to remove the current bottleneck (manual operation/leaf identification) in estimating leaf angle distribution type, which does not require the acquisition of expensive equipment (e.g. terrestrial laser scanner).

  3. 10 cze 2021 · Leaf angle distribution (LAD) in forest canopies affects estimates of leaf area, light interception, and global-scale photosynthesis, but is often simplified to a single theoretical value. Here, we present TLSL e AF (Terrestrial Laser Scanning Leaf Angle Function), an automated open-source method of deriving LADs from terrestrial laser scanning.

  4. 15 sie 2022 · Leaf angles (i.e., leaf inclination relative to the horizontal) were collected for a large number of leaves from both sunlit and shaded crowns using ladders, mobile elevators, scaffolding towers or cameras mounted on UAVs for canopy access. Measurements were conducted only in windless conditions.

  5. 26 lut 2015 · A mathematical equivalent for leaf orientation is the leaf angle or leaf angle distribution. Our methods and algorithms are designed for the local derivation of leaf angles on the base of individual leaf models.

  6. 16 mar 2007 · Leaf angle distribution is one of the key parameters to simulate radiative transfer and energy and mass balance of vegetative canopies. Five leaf angle distributions functions have been proposed to account for the non-random distribution of leaf inclination angle.

  7. 10 cze 2021 · Here, we present TLSL e AF (Terrestrial Laser Scanning Leaf Angle Function), an automated open-source method of deriving LADs from terrestrial laser scanning. TLSL e AF produces canopy-scale leaf angle and LADs by relying on gridded laser scanning data.

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