Results 1 to 10 of about 106,533 (338)

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

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   +7 more sources

Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors [PDF]

open access: goldSensors, 2009
The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable component of process-based ecological research facilitating the understanding of gas-vegetation exchange phenomenon at an array of spatial scales from the leaf to the
Guang Zheng, L. Monika Moskal
semanticscholar   +6 more sources

Estimation of Cotton Leaf Area Index (LAI) Based on Spectral Transformation and Vegetation Index [PDF]

open access: yesRemote Sensing, 2021
Unmanned aerial vehicles (UAV) has been increasingly applied to crop growth monitoring due to their advantages, such as their rapid and repetitive capture ability, high resolution, and low cost.
Yiru Ma   +7 more
doaj   +3 more sources

Digital Cover Photography for Estimating Leaf Area Index (LAI) in Apple Trees Using a Variable Light Extinction Coefficient [PDF]

open access: yesSensors, 2015
Leaf area index (LAI) is one of the key biophysical variables required for crop modeling. Direct LAI measurements are time consuming and difficult to obtain for experimental and commercial fruit orchards.
Carlos Poblete-Echeverría   +4 more
doaj   +3 more sources

Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season. [PDF]

open access: yesPlant Methods, 2021
Background Rice is one of the most important grain crops worldwide. The accurate and dynamic monitoring of Leaf Area Index (LAI) provides important information to evaluate rice growth and production.
Gong Y   +6 more
europepmc   +2 more sources

Using the Negative Soil Adjustment Factor of Soil Adjusted Vegetation Index (SAVI) to Resist Saturation Effects and Estimate Leaf Area Index (LAI) in Dense Vegetation Areas. [PDF]

open access: yesSensors (Basel), 2021
Saturation effects limit the application of vegetation indices (VIs) in dense vegetation areas. The possibility to mitigate them by adopting a negative soil adjustment factor X is addressed.
Zhen Z   +11 more
europepmc   +2 more sources

Analysis of Nutrient-Specific Response of Maize Hybrids in Relation to Leaf Area Index (LAI) and Remote Sensing [PDF]

open access: yesPlants, 2022
Leaf area index (LAI) indicates the leaf area per ground surface area occupied by a crop. Various methods are used to measure LAI, which is unitless and varies according to species and environmental conditions.
Atala Szabó   +6 more
doaj   +2 more sources

Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products [PDF]

open access: goldRemote Sensing, 2015
The validation process for a moderate resolution leaf area index (LAI) product (i.e., MODIS) involves the creation of a high spatial resolution LAI reference map (Lai-RM), which when scaled to the moderate LAI resolution (i.e., > 1 km) allows for ...
John S. Iiames   +3 more
doaj   +2 more sources

Parameterization of the vertical distribution of leaf area index (LAI) in rice (Oryza sativa L.) using a plant canopy analyzer. [PDF]

open access: yesSci Rep, 2018
Monitoring the vertical distribution of leaf area index (LAI) is an effective method for evaluating canopy photosynthesis and biomass productivity. In this study, we proposed a novel method to characterize LAI vertical distribution non-destructively by ...
Hirooka Y, Homma K, Shiraiwa T.
europepmc   +2 more sources

Spatial and seasonal variations of leaf area index (LAI) in subtropicalsecondary forests related to floristic composition and stand characters [PDF]

open access: gold, 2016
. Leaf area index (LAI) is an important parameter related to carbon, water, and energy exchange between canopy and atmosphere and is widely applied in process models that simulate production and hydrological cycles in forest ecosystems.
Wenjuan Zhu   +8 more
openalex   +2 more sources

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