Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography

By I. Jonckheere, S. Fleck, Kris Nackaerts, Bart Muys, Pol R. Coppin, Marie Weiss, Frédéric Baret. 2004

1,588 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/32529762519f0cc15b28e05c62cb9d0a7853b504

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Citations in the corpus

Indirect estimates of canopy gap fraction based on the linear conversion of hemispherical photographs Methodology and comparison with standard thresholding techniques (2007, methodology): “Hemispherical photographs, also known as fish-eye images, are an inexpensive and effective tool to describe in a quantitative manner the architecture and radiative regime of plant canopies (Chan et al., 1986; Rich, 1990; Jonckheere et al., 2004; Weiss et al., 2004).”
Emerging opportunities and challenges in phenology: a review (2016, methodology): “Fisheye images have been used to take hemispherical canopy photographs for estimating the light environment of the forest understory (Anderson 1964, Chazdon and Field 1987, Pearcy 1989) and forest canopy leaf area index (LAI; Jonckheere et al. 2004).”
An improved estimate of leaf area index based on the histogram analysis of hemispherical photographs (2009, background): “Improvements in LAI calculation can also expected from the use of high-resolution digital images produced by devices currently available and at affordable prices (Jonckheere et al., 2004).”
Green area index from an unmanned aerial system over wheat and rapeseed crops (2014, methodology): “In both cases, LAI estimated from the remote sensing observations should be in good agreement with values that could be measured in the field using either destructive methods or indirect methods based on light transmittance (Jonckheere et al., 2004; Weiss et al., 2004).”
Water use and the development of seasonal crop coefficients for Superior Seedless grapevines trained to an open-gable trellis system (2008, background): “Leaf area index measurements The leaf area index (LAI) represents the leaf area per unit of ground surface area (Jonckheere et al. 2004).”
Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning (2018, methodology): “There are two main categories of methods to derive in situ LAI: direct and indirect ones (Jonckheere et al., 2004).”
Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations (2016, positive): “The accurate retrieval of α is then a 44 critical step in the estimation of LAI from ubiquitous indirect LAI estimation methods (see 45 extensive reviews by (Bréda, 2003; Jonckheere et al., 2004; Zheng & Moskal, 2009)).”
Estimation of leaf area and clumping indexes of crops with hemispherical photographs (2008, methodology): “All rights reserved. doi:10.1016/j.agrformet.2007.11.015 Jonckheere et al., 2004; Weiss et al., 2004).”
Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data (2020, methodology): “The PAI was estimated from photographs using the158 concept of hemispherical digital photography (Jonckheere et al., 2004; Weiss159 et al., 2004).”
Photosynthetic and structural characteristics of canopy and shrub trees in a cool-temperate deciduous broadleaved forest: Implication to the ecosystem carbon gain (2005, background): “Therefore, our value can be called as plant area index or vegetation area index (reviewed by Jonckheere et al., 2004).”