Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.

Non-destructive estimation using digital cameras is a common approach for estimating leaf area index (LAI) of terrestrial vegetation. However, no attempt has been made so far to develop non-destructive approaches to LAI estimation for aquatic vegetation. Using the submerged plant species Potamogeton...

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Main Authors: Dehua Zhao, Dong Xie, Hengjie Zhou, Hao Jiang, Shuqing An
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3514177?pdf=render
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author Dehua Zhao
Dong Xie
Hengjie Zhou
Hao Jiang
Shuqing An
author_facet Dehua Zhao
Dong Xie
Hengjie Zhou
Hao Jiang
Shuqing An
author_sort Dehua Zhao
collection DOAJ
description Non-destructive estimation using digital cameras is a common approach for estimating leaf area index (LAI) of terrestrial vegetation. However, no attempt has been made so far to develop non-destructive approaches to LAI estimation for aquatic vegetation. Using the submerged plant species Potamogeton malainus, the objective of this study was to determine whether the gap fraction derived from vertical photographs could be used to estimate LAI of aquatic vegetation. Our results suggested that upward-oriented photographs taken from beneath the water surface were more suitable for distinguishing vegetation from other objects than were downward-oriented photographs taken from above the water surface. Exposure settings had a substantial influence on the identification of vegetation in upward-oriented photographs. Automatic exposure performed nearly as well as the optimal trial exposure, making it a good choice for operational convenience. Similar to terrestrial vegetation, our results suggested that photographs taken for the purpose of distinguishing gap fraction in aquatic vegetation should be taken under diffuse light conditions. Significant logarithmic relationships were observed between the vertical gap fraction derived from upward-oriented photographs and plant area index (PAI) and LAI derived from destructive harvesting. The model we developed to depict the relationship between PAI and gap fraction was similar to the modified theoretical Poisson model, with coefficients of 1.82 and 1.90 for our model and the theoretical model, respectively. This suggests that vertical upward-oriented photographs taken from below the water surface are a feasible alternative to destructive harvesting for estimating PAI and LAI for the submerged aquatic plant Potamogeton malainus.
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spelling doaj.art-9fbc7d3decba4fc0b3821d28f02acace2022-12-22T00:51:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01712e5103410.1371/journal.pone.0051034Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.Dehua ZhaoDong XieHengjie ZhouHao JiangShuqing AnNon-destructive estimation using digital cameras is a common approach for estimating leaf area index (LAI) of terrestrial vegetation. However, no attempt has been made so far to develop non-destructive approaches to LAI estimation for aquatic vegetation. Using the submerged plant species Potamogeton malainus, the objective of this study was to determine whether the gap fraction derived from vertical photographs could be used to estimate LAI of aquatic vegetation. Our results suggested that upward-oriented photographs taken from beneath the water surface were more suitable for distinguishing vegetation from other objects than were downward-oriented photographs taken from above the water surface. Exposure settings had a substantial influence on the identification of vegetation in upward-oriented photographs. Automatic exposure performed nearly as well as the optimal trial exposure, making it a good choice for operational convenience. Similar to terrestrial vegetation, our results suggested that photographs taken for the purpose of distinguishing gap fraction in aquatic vegetation should be taken under diffuse light conditions. Significant logarithmic relationships were observed between the vertical gap fraction derived from upward-oriented photographs and plant area index (PAI) and LAI derived from destructive harvesting. The model we developed to depict the relationship between PAI and gap fraction was similar to the modified theoretical Poisson model, with coefficients of 1.82 and 1.90 for our model and the theoretical model, respectively. This suggests that vertical upward-oriented photographs taken from below the water surface are a feasible alternative to destructive harvesting for estimating PAI and LAI for the submerged aquatic plant Potamogeton malainus.http://europepmc.org/articles/PMC3514177?pdf=render
spellingShingle Dehua Zhao
Dong Xie
Hengjie Zhou
Hao Jiang
Shuqing An
Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.
PLoS ONE
title Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.
title_full Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.
title_fullStr Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.
title_full_unstemmed Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.
title_short Estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography.
title_sort estimation of leaf area index and plant area index of a submerged macrophyte canopy using digital photography
url http://europepmc.org/articles/PMC3514177?pdf=render
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AT hengjiezhou estimationofleafareaindexandplantareaindexofasubmergedmacrophytecanopyusingdigitalphotography
AT haojiang estimationofleafareaindexandplantareaindexofasubmergedmacrophytecanopyusingdigitalphotography
AT shuqingan estimationofleafareaindexandplantareaindexofasubmergedmacrophytecanopyusingdigitalphotography