Measurement of wind-induced motion of crop canopies from digital video images

Charlotte Py; Emmanuel De Langre; Bruno Moulia; Pascal Hémon

doi:10.1016/j.agrformet.2005.03.008

Measurement of wind-induced motion of crop canopies from digital video images

Charlotte Py
, Emmanuel De Langre
, Bruno Moulia
, Pascal Hémon

Research output: Contribution to journal › Article › peer-review

Abstract

We present a new measurement technique based on image correlation to capture the wind-induced motions of crop canopies. Tests were carried out on an alfalfa field submitted to natural wind. The motion is video-recorded from the side of the field and we take advantage of the natural periodicity of the crop to correct the distortion due to perspective. The computation of the canopy motions between successive images is based on Particle Image Velocimetry (PIV), and takes advantage of the natural small-scale heterogeneities of the canopy. It provides the two-dimensionnal spatio-temporal velocity field of the crop top surface with high spatial and temporal resolution. The Bi-Orthogonal Decomposition (BOD) of the velocity field then reveals large coherent propagating structures that scale with typical wavelength of wind fluctuation over canopies.

Original language	English
Pages (from-to)	223-236
Number of pages	14
Journal	Agricultural and Forest Meteorology
Volume	130
Issue number	3-4
DOIs	https://doi.org/10.1016/j.agrformet.2005.03.008
Publication status	Published - 30 Jun 2005

Keywords

BOD
Lodging
PIV
Plant motion
Thigmomorphogenesis
Wind

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10.1016/j.agrformet.2005.03.008

Cite this

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title = "Measurement of wind-induced motion of crop canopies from digital video images",

abstract = "We present a new measurement technique based on image correlation to capture the wind-induced motions of crop canopies. Tests were carried out on an alfalfa field submitted to natural wind. The motion is video-recorded from the side of the field and we take advantage of the natural periodicity of the crop to correct the distortion due to perspective. The computation of the canopy motions between successive images is based on Particle Image Velocimetry (PIV), and takes advantage of the natural small-scale heterogeneities of the canopy. It provides the two-dimensionnal spatio-temporal velocity field of the crop top surface with high spatial and temporal resolution. The Bi-Orthogonal Decomposition (BOD) of the velocity field then reveals large coherent propagating structures that scale with typical wavelength of wind fluctuation over canopies.",

keywords = "BOD, Lodging, PIV, Plant motion, Thigmomorphogenesis, Wind",

author = "Charlotte Py and \{De Langre\}, Emmanuel and Bruno Moulia and Pascal H{\'e}mon",

year = "2005",

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day = "30",

doi = "10.1016/j.agrformet.2005.03.008",

language = "English",

volume = "130",

pages = "223--236",

journal = "Agricultural and Forest Meteorology",

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}

TY - JOUR

T1 - Measurement of wind-induced motion of crop canopies from digital video images

AU - Py, Charlotte

AU - De Langre, Emmanuel

AU - Moulia, Bruno

AU - Hémon, Pascal

PY - 2005/6/30

Y1 - 2005/6/30

N2 - We present a new measurement technique based on image correlation to capture the wind-induced motions of crop canopies. Tests were carried out on an alfalfa field submitted to natural wind. The motion is video-recorded from the side of the field and we take advantage of the natural periodicity of the crop to correct the distortion due to perspective. The computation of the canopy motions between successive images is based on Particle Image Velocimetry (PIV), and takes advantage of the natural small-scale heterogeneities of the canopy. It provides the two-dimensionnal spatio-temporal velocity field of the crop top surface with high spatial and temporal resolution. The Bi-Orthogonal Decomposition (BOD) of the velocity field then reveals large coherent propagating structures that scale with typical wavelength of wind fluctuation over canopies.

AB - We present a new measurement technique based on image correlation to capture the wind-induced motions of crop canopies. Tests were carried out on an alfalfa field submitted to natural wind. The motion is video-recorded from the side of the field and we take advantage of the natural periodicity of the crop to correct the distortion due to perspective. The computation of the canopy motions between successive images is based on Particle Image Velocimetry (PIV), and takes advantage of the natural small-scale heterogeneities of the canopy. It provides the two-dimensionnal spatio-temporal velocity field of the crop top surface with high spatial and temporal resolution. The Bi-Orthogonal Decomposition (BOD) of the velocity field then reveals large coherent propagating structures that scale with typical wavelength of wind fluctuation over canopies.

KW - BOD

KW - Lodging

KW - PIV

KW - Plant motion

KW - Thigmomorphogenesis

KW - Wind

UR - https://www.scopus.com/pages/publications/20444477949

U2 - 10.1016/j.agrformet.2005.03.008

DO - 10.1016/j.agrformet.2005.03.008

M3 - Article

AN - SCOPUS:20444477949

SN - 0168-1923

VL - 130

SP - 223

EP - 236

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

IS - 3-4

ER -

Measurement of wind-induced motion of crop canopies from digital video images

Abstract

Keywords

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