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First validation of Leaf Area Index Maps

First report on the validation of the Leaf Area Index Maps, including error and uncertainty estimates for the products obtained in the four field test areas.
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Estimation of maize plant height and leaf area index dynamics using an unmanned aerial vehicle with oblique and nadir photography. [PDF]

Ann Bot, 2020
Che Y, Wang Q, Xie Z, Zhou L, Li S, Hui F, Wang X, Li B, Ma Y.   +8 more
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Inversion of winter wheat leaf area index from UAV multispectral images: classical vs. deep learning approaches. [PDF]

Front Plant Sci
Zu J, Yang H, Wang J, Cai W, Yang Y.
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Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions. [PDF]

Theor Appl Genet
Blancon J, Buet C, Dubreuil P, Tixier MH, Baret F, Praud S.   +5 more
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Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions. [PDF]

Remote Sens (Basel), 2020
Rajib A, Kim IL, Golden HE, Lane CR, Kumar SV, Yu Z, Jeyalakshmi S.   +6 more
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Leaf Area Index and Specific Leaf Area Determinations

Journal of Agronomic Education, 1972
ABSTRACTLeaf area is measured by several methods and area per unit leaf weight (specific leaf area) is calculated. Leaf area index is then calculated as the product of leaf yield and specific leaf area. Procedures and equipment needed are described.
D. D. Wolf, E. W. Carson, R. H. Brown
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Radiometric leaf area index

International Journal of Remote Sensing, 1988
Abstract The geometrical structure of a vegetation canopy determines the amount of foliage presented to a sensor and the form of the relationship between reflectance and vegetation amount. The aim of this study was to develop a practical measure of vegetation amount that was sensitive to canopy geometry.
P. J. CURRAN, N. W. WARDLEY
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Leaf Area Index

2013
This chapter briefly introduces the inversion algorithms used, discusses the product characteristics and validation results, and presents preliminary analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs).
Shunlin Liang, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, Xiang Zhao   +5 more
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Critical Leaf Area Index in Pigeonpea

Journal of Agronomy and Crop Science, 1987
AbstractExperiment conducted with six pigeonpea cultivars over three seasons revealed that the critical leaf area index was 5.3 which coincided with the maximum crop growth rate and optimum net assimilation rate. It was also evident that the crop growth rate was influenced more by NAR rather than LAI. This study also suggests that by maintaining higher
K. Balakrishnan, N. Natarajaratnam, C. Rajendran   +2 more
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Relationship between tillering and leaf area index: quantifying critical leaf area index for tillering in rice

The Journal of Agricultural Science, 2002
A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect ...
X. ZHONG, S. PENG, J. E. SHEEHY, R. M. VISPERAS, H. LIU   +4 more
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