Results 1 to 10 of about 332 (98)

HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs

open access: yesMethods in Ecology and Evolution, 2023
Digital hemispherical photography (DHP) is widely used to derive forest biophysical variables including leaf, plant, and green area index (LAI, PAI and GAI), the fraction of intercepted photosynthetically active radiation (FIPAR), and the fraction of ...
Luke A. Brown   +7 more
doaj   +3 more sources

Quantifying the Accuracy of Digital Hemispherical Photography for Leaf Area Index Estimates on Broad-Leaved Tree Species [PDF]

open access: yesSensors, 2018
Digital hemispherical photography (DHP) has been widely used to estimate leaf area index (LAI) in forestry. Despite the advancement in the processing of hemispherical images with dedicated tools, several steps are still manual and thus easily affected by
Carlo Gilardelli   +3 more
doaj   +3 more sources

Uncrewed aircraft system spherical photography for the vertical characterization of canopy structural traits. [PDF]

open access: yesNew Phytol, 2022
Summary The plant area index (PAI) is a structural trait that succinctly parametrizes the foliage distribution of a canopy and is usually estimated using indirect optical techniques such as digital hemispherical photography. Critically, on‐the‐ground photographic measurements forgo the vertical variation of canopy structure which regulates the local ...
Ribas Costa VA   +5 more
europepmc   +2 more sources

Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests

open access: yesRemote Sensing, 2021
The in situ leaf area index (LAI) measurement plays a vital role in calibrating and validating satellite LAI products. Digital hemispherical photography (DHP) is a widely used in situ forest LAI measurement method.
Jing Liu   +6 more
doaj   +2 more sources

Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site

open access: yesGIScience & Remote Sensing, 2023
Leaf area index (LAI) is defined as one half of the total green leaf area per unit ground surface area. Its vertical profile is critical for understanding the remote sensing radiative transfer processes.
Yao Wang   +6 more
doaj   +2 more sources

Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest [PDF]

open access: yesBiogeosciences, 2023
Accurate measurement of vegetation density metrics including plant, wood and leaf area indices (PAI, WAI and LAI) is key to monitoring and modelling carbon storage and uptake in forests.
W. R. M. Flynn   +4 more
doaj   +2 more sources

Evaluating the impact of sampling schemes on leaf area index measurements from digital hemispherical photography in Larix principis-rupprechtii forest plots

open access: yesForest Ecosystems, 2020
Background Digital hemispherical photography (DHP) is widely used to estimate the leaf area index (LAI) of forest plots due to its advantages of high efficiency and low cost.
Jie Zou   +7 more
doaj   +2 more sources

Estimation of Leaf Area Index in a Typical Northern Tropical Secondary Monsoon Rainforest by Different Indirect Methods

open access: yesRemote Sensing, 2023
The leaf area index (LAI) is a crucial indicator for quantifying forest productivity and community ecological processes. Satellite remote sensing can achieve large-scale LAI monitoring, but it needs to be calibrated and validated according to the in situ
Xiansheng Xie   +5 more
doaj   +2 more sources

Estimating Snow Depth and Leaf Area Index Based on UAV Digital Photogrammetry [PDF]

open access: yesSensors, 2019
This study presents a novel approach in the application of Unmanned Aerial Vehicle (UAV) imaging for the conjoint assessment of the snow depth and winter leaf area index (LAI), a structural property of vegetation, affecting the snow accumulation and ...
Theodora Lendzioch   +2 more
doaj   +2 more sources

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