Results 11 to 20 of about 582 (135)

Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI [PDF]

open access: yesRemote Sensing, 2016
Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies in order to assess crop yield.
Manuel Campos-Taberner   +9 more
doaj   +7 more sources

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

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   +3 more sources

Biophysical Variable Retrieval of Silage Maize with Gaussian Process Regression and Hyperparameter Optimization Algorithms

open access: yesRemote Sensing, 2023
Quantification of vegetation biophysical variables such as leaf area index (LAI), fractional vegetation cover (fCover), and biomass are among the key factors across hydrological, agricultural, and irrigation management studies. The present study proposes
Elahe Akbari   +6 more
doaj   +2 more sources

Reliability of canopy photography for forest ecology and biodiversity studies

open access: yesEcological Indicators
Understory is a key component of forest biodiversity. The structure of the forest stand and the horizontal composition of the canopy play a major role on the light regime of the understory, which in turn affects the abundance and the diversity of the ...
Anouk von Meijenfeldt   +5 more
doaj   +2 more sources

A comparison of different methods for assessing leaf area index in four canopy types [PDF]

open access: yesCentral European Forestry Journal, 2019
The agreement of Leaf Area Index (LAI) assessments from three indirect methods, i.e. the LAI–2200 Plant Canopy Analyzer, the SS1 SunScan Canopy Analysis System and Digital Hemispherical Photography (DHP) was evaluated for four canopy types, i.e.
C. Ariza-Carricondo   +7 more
semanticscholar   +3 more sources

Accuracy assessment of LAI, PAI and FCOVER from Sentinel-2 and GEDI for monitoring forests and their disturbance in Central Germany

open access: yesEuropean Journal of Remote Sensing
Forest monitoring benefits from biophysical parameters such as Leaf Area Index (LAI), Plant Area Index (PAI) and fractional vegetation cover (FCOVER) and can be obtained from optical and LiDAR remote sensing, such as Sentinel-2 (S2) and the Global ...
Birgitta Putzenlechner   +7 more
doaj   +2 more sources

Evaluation and correction of optically derived leaf area index in different temperate forests

open access: yesiForest - Biogeosciences and Forestry, 2016
In recent years optical techniques for rapid LAI measurements have been developed, but few studies have been performed to evaluate the accuracy of optical estimation of LAI in mixed deciduous-evergreen forest stands.
Liu Z, Jin G, Zhou M
doaj   +2 more sources

A Normalization-Calibration Model for Multi-Source Ground-Based FPAR Observations in Mountainous Forests

open access: yesRemote Sensing
The fraction of absorbed photosynthetically active radiation (FPAR) is a key physiological variable for characterizing vegetation structure and associated matter and energy exchange processes.
Yongxin Cai   +9 more
doaj   +2 more sources

The relationship between directional area scattering factor and foliage clumping based on DSCOVR EPIC data over Australian TERN sites

open access: yesFrontiers in Remote Sensing
The Directional Area Scattering Factor (DASF) quantifies the fraction of visible canopy leaf area in a given direction and has demonstrated utility in characterizing vegetation structure. While traditionally applied to dense canopies under the assumption
Jan Pisek   +4 more
doaj   +2 more sources

Estimate of leaf area index in an old-growth mixed broadleaved-Korean pine forest in northeastern China. [PDF]

open access: yesPLoS One, 2012
Leaf area index (LAI) is an important variable in the study of forest ecosystem processes, but very few studies are designed to monitor LAI and the seasonal variability in a mixed forest using non-destructive sampling. In this study, first, true LAI from
Liu Z, Jin G, Qi Y.
europepmc   +4 more sources

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