Results 41 to 50 of about 8,387 (335)

Estimating Effective Leaf Area Index of Winter Wheat Based on UAV Point Cloud Data

open access: yesDrones, 2023
Leaf area index (LAI) is a widely used plant biophysical parameter required for modelling plant photosynthesis and crop yield estimation. UAV remote sensing plays an increasingly important role in providing the data source needed for LAI extraction. This
Jie Yang   +7 more
doaj   +1 more source

A New Method for Forest Canopy Hemispherical Photography Segmentation Based on Deep Learning [PDF]

open access: yesForests, 2020
Research Highlights: This paper proposes a new method for hemispherical forest canopy image segmentation. The method is based on a deep learning methodology and provides a robust and fully automatic technique for the segmentation of forest canopy hemispherical photography (CHP) and gap fraction (GF) calculation. Background and Objectives: CHP is widely
Kexin Li   +7 more
openaire   +1 more source

Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App

open access: yesSensors, 2016
Estimating leaf area index (LAI) of Vitis vinifera using indirect methods involves some critical issues, related to its discontinuous and non-homogeneous canopy.
Francesca Orlando   +7 more
doaj   +1 more source

Differential photosynthetic adaptation between size-classes of Spruce and Fir juveniles help to explain the co-existence of the two species. [PDF]

open access: yes, 2010
Background/Question/Methods _Abies sachalinensis_ (Sakhalin Fir) and _Picea glehnii_ (Glehn’s Spruce) are major components of the sub-boreal forests of Hokkaido, Japan.
Akihiro Sumida   +3 more
core   +2 more sources

Understorey plant community and light availability in conifer plantations and natural hardwood forests in Taiwan [PDF]

open access: yes, 2015
Questions: What are the effects of replacing mixed species natural forests with Cryptomeria japonica plantations on understorey plant functional and species diversity?
Anderson M.C.   +25 more
core   +2 more sources

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   +1 more source

Forest cover density mapping of Zagros forests using Landsat-9 imagery and ‎hemispherical photographs

open access: yesپژوهش و توسعه جنگل, 2023
The goal of this study is to see how well the forest canopy density (FCD) model and the GLAMA mobile ‎app estimate the canopy cover density of Zagros forests in Sardasht province. Landsat 9 Operational Land ‎Imager-2 (OLI-2) in 2022 was employed for this
Hadi Beygiheidarlou   +3 more
doaj   +1 more source

The estimation of canopy attributes from digital cover photography by two different image analysis methods

open access: yesiForest - Biogeosciences and Forestry, 2014
Proximal sensing methods using digital photography have gained wide acceptance for describing and quantifying canopy properties. Digital hemispherical photography (DHP) is the most widely used photographic technique for canopy description.
Chianucci F, Chiavetta U, Cutini A
doaj   +1 more source

Estimation of leaf area index in eucalypt forest with vertical foliage, using cover and fullframe fisheye photography [PDF]

open access: yes, 2007
This study compared fullframe fisheye photography and cover photography with destructive leaf area index (L) estimation and the Licor LAI-2000 plant canopy analyser (PCA) in plantations of the vertical leaved species Eucalyptus globulus.
Adams, MA   +6 more
core   +1 more source

LiDAR Voxel-Size Optimization for Canopy Gap Estimation

open access: yesRemote Sensing, 2022
Terrestrial laser scanning of forest structure is used increasingly in place of traditional technologies; however, deriving physical parameters from point clouds remains challenging because LiDAR returns do not have defined areas or volumes.
C. Wade Ross   +5 more
doaj   +1 more source

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