Using multidirectional thermography to characterize water status of cotton

A pertinent interpretation of thermal infrared (TIR) information to characterize crop water status requires at least to consider the fraction of crop cover. Even if the crop cover is known, such an interpretation remains difficult and the current issues to be overcome in the field of TIR remote sensing applications stands on bare soil effects. An experiment was conducted during summer 1999 in Montpellier (France) on a rowcotton crop in order to acquire a data set relating thermal and optical multidirectional measurements to crop structure and water status. The crop was monitored all along its development. Three plots were delimited: a reference plot with no water limitation and two plots without water supply respectively at flowering and cutout stage. On three dates, directional TIR and optical images were acquired both on the reference plot and on the one with limited water supply. Directional averaged temperatures (Ts) and Normalized Difference Vegetation Index (NDVI) values showed a strong dependence on canopy gap fraction. Ts appeared particularly influenced by directional sunlit soil fraction variability, depending on both sun/sensor angle configuration, crop structure and water status. Leaves at different levels in the canopy (with different ages and spectral properties) could be observed by the sensor, but the impact of the sunlit/shaded leaves ratio on directional temperature measurements was weak in comparison to soil effects. The different directional influence of sunlit soil fractions on Ts and NDVI values explains in a large part the limits encountered by water stress indices approaches, aiming at relating linearly such variables, when applied to partially covering crops. Such results provide an exhaustive experiment-based biophysical analysis of very high resolution multidirectional TIR signal. They point out further ways of investigations to be explored in the field of water stress indices improvement or performing. This comes as a preamble of an experiment-based analysis of the limits and opportunities of water stress indices methods, complemented with a 3D model-based analysis that allows confirmation and extrapolation of the results to larger ranges of crop characteristics and directional configurations.

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Main Authors: Luquet, Delphine, Bégué, Agnès, Vidal, Alain, Clouvel, Pascal, Dauzat, Jean, Olioso, Albert, Gu, X.F., Tao, Y.
Format: article biblioteca
Language:eng
Published: Elsevier
Subjects:U30 - Méthodes de recherche, F60 - Physiologie et biochimie végétale, F40 - Écologie végétale, Gossypium hirsutum, bilan hydrique, stress dû à la sécheresse, télédétection, Thermographie, rayonnement infrarouge, couvert, température, insolation, http://aims.fao.org/aos/agrovoc/c_3339, http://aims.fao.org/aos/agrovoc/c_8311, http://aims.fao.org/aos/agrovoc/c_24993, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_32609, http://aims.fao.org/aos/agrovoc/c_3867, http://aims.fao.org/aos/agrovoc/c_1262, http://aims.fao.org/aos/agrovoc/c_7657, http://aims.fao.org/aos/agrovoc/c_3892, http://aims.fao.org/aos/agrovoc/c_3081,
Online Access:http://agritrop.cirad.fr/513588/
http://agritrop.cirad.fr/513588/1/513588.pdf
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record_format koha
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F40 - Écologie végétale
Gossypium hirsutum
bilan hydrique
stress dû à la sécheresse
télédétection
Thermographie
rayonnement infrarouge
couvert
température
insolation
http://aims.fao.org/aos/agrovoc/c_3339
http://aims.fao.org/aos/agrovoc/c_8311
http://aims.fao.org/aos/agrovoc/c_24993
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_32609
http://aims.fao.org/aos/agrovoc/c_3867
http://aims.fao.org/aos/agrovoc/c_1262
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_3892
http://aims.fao.org/aos/agrovoc/c_3081
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F40 - Écologie végétale
Gossypium hirsutum
bilan hydrique
stress dû à la sécheresse
télédétection
Thermographie
rayonnement infrarouge
couvert
température
insolation
http://aims.fao.org/aos/agrovoc/c_3339
http://aims.fao.org/aos/agrovoc/c_8311
http://aims.fao.org/aos/agrovoc/c_24993
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_32609
http://aims.fao.org/aos/agrovoc/c_3867
http://aims.fao.org/aos/agrovoc/c_1262
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_3892
http://aims.fao.org/aos/agrovoc/c_3081
spellingShingle U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F40 - Écologie végétale
Gossypium hirsutum
bilan hydrique
stress dû à la sécheresse
télédétection
Thermographie
rayonnement infrarouge
couvert
température
insolation
http://aims.fao.org/aos/agrovoc/c_3339
http://aims.fao.org/aos/agrovoc/c_8311
http://aims.fao.org/aos/agrovoc/c_24993
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_32609
http://aims.fao.org/aos/agrovoc/c_3867
http://aims.fao.org/aos/agrovoc/c_1262
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_3892
http://aims.fao.org/aos/agrovoc/c_3081
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F40 - Écologie végétale
Gossypium hirsutum
bilan hydrique
stress dû à la sécheresse
télédétection
Thermographie
rayonnement infrarouge
couvert
température
insolation
http://aims.fao.org/aos/agrovoc/c_3339
http://aims.fao.org/aos/agrovoc/c_8311
http://aims.fao.org/aos/agrovoc/c_24993
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_32609
http://aims.fao.org/aos/agrovoc/c_3867
http://aims.fao.org/aos/agrovoc/c_1262
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_3892
http://aims.fao.org/aos/agrovoc/c_3081
Luquet, Delphine
Bégué, Agnès
Vidal, Alain
Clouvel, Pascal
Dauzat, Jean
Olioso, Albert
Gu, X.F.
Tao, Y.
Using multidirectional thermography to characterize water status of cotton
description A pertinent interpretation of thermal infrared (TIR) information to characterize crop water status requires at least to consider the fraction of crop cover. Even if the crop cover is known, such an interpretation remains difficult and the current issues to be overcome in the field of TIR remote sensing applications stands on bare soil effects. An experiment was conducted during summer 1999 in Montpellier (France) on a rowcotton crop in order to acquire a data set relating thermal and optical multidirectional measurements to crop structure and water status. The crop was monitored all along its development. Three plots were delimited: a reference plot with no water limitation and two plots without water supply respectively at flowering and cutout stage. On three dates, directional TIR and optical images were acquired both on the reference plot and on the one with limited water supply. Directional averaged temperatures (Ts) and Normalized Difference Vegetation Index (NDVI) values showed a strong dependence on canopy gap fraction. Ts appeared particularly influenced by directional sunlit soil fraction variability, depending on both sun/sensor angle configuration, crop structure and water status. Leaves at different levels in the canopy (with different ages and spectral properties) could be observed by the sensor, but the impact of the sunlit/shaded leaves ratio on directional temperature measurements was weak in comparison to soil effects. The different directional influence of sunlit soil fractions on Ts and NDVI values explains in a large part the limits encountered by water stress indices approaches, aiming at relating linearly such variables, when applied to partially covering crops. Such results provide an exhaustive experiment-based biophysical analysis of very high resolution multidirectional TIR signal. They point out further ways of investigations to be explored in the field of water stress indices improvement or performing. This comes as a preamble of an experiment-based analysis of the limits and opportunities of water stress indices methods, complemented with a 3D model-based analysis that allows confirmation and extrapolation of the results to larger ranges of crop characteristics and directional configurations.
format article
topic_facet U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F40 - Écologie végétale
Gossypium hirsutum
bilan hydrique
stress dû à la sécheresse
télédétection
Thermographie
rayonnement infrarouge
couvert
température
insolation
http://aims.fao.org/aos/agrovoc/c_3339
http://aims.fao.org/aos/agrovoc/c_8311
http://aims.fao.org/aos/agrovoc/c_24993
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_32609
http://aims.fao.org/aos/agrovoc/c_3867
http://aims.fao.org/aos/agrovoc/c_1262
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_3892
http://aims.fao.org/aos/agrovoc/c_3081
author Luquet, Delphine
Bégué, Agnès
Vidal, Alain
Clouvel, Pascal
Dauzat, Jean
Olioso, Albert
Gu, X.F.
Tao, Y.
author_facet Luquet, Delphine
Bégué, Agnès
Vidal, Alain
Clouvel, Pascal
Dauzat, Jean
Olioso, Albert
Gu, X.F.
Tao, Y.
author_sort Luquet, Delphine
title Using multidirectional thermography to characterize water status of cotton
title_short Using multidirectional thermography to characterize water status of cotton
title_full Using multidirectional thermography to characterize water status of cotton
title_fullStr Using multidirectional thermography to characterize water status of cotton
title_full_unstemmed Using multidirectional thermography to characterize water status of cotton
title_sort using multidirectional thermography to characterize water status of cotton
publisher Elsevier
url http://agritrop.cirad.fr/513588/
http://agritrop.cirad.fr/513588/1/513588.pdf
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spelling dig-cirad-fr-5135882024-12-18T14:13:03Z http://agritrop.cirad.fr/513588/ http://agritrop.cirad.fr/513588/ Using multidirectional thermography to characterize water status of cotton. Luquet Delphine, Bégué Agnès, Vidal Alain, Clouvel Pascal, Dauzat Jean, Olioso Albert, Gu X.F., Tao Y.. 2003. Remote Sensing of Environment, 84 (3) : 411-421.https://doi.org/10.1016/S0034-4257(02)00131-1 <https://doi.org/10.1016/S0034-4257(02)00131-1> Using multidirectional thermography to characterize water status of cotton Luquet, Delphine Bégué, Agnès Vidal, Alain Clouvel, Pascal Dauzat, Jean Olioso, Albert Gu, X.F. Tao, Y. eng 2003 Elsevier Remote Sensing of Environment U30 - Méthodes de recherche F60 - Physiologie et biochimie végétale F40 - Écologie végétale Gossypium hirsutum bilan hydrique stress dû à la sécheresse télédétection Thermographie rayonnement infrarouge couvert température insolation http://aims.fao.org/aos/agrovoc/c_3339 http://aims.fao.org/aos/agrovoc/c_8311 http://aims.fao.org/aos/agrovoc/c_24993 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_32609 http://aims.fao.org/aos/agrovoc/c_3867 http://aims.fao.org/aos/agrovoc/c_1262 http://aims.fao.org/aos/agrovoc/c_7657 http://aims.fao.org/aos/agrovoc/c_3892 France http://aims.fao.org/aos/agrovoc/c_3081 A pertinent interpretation of thermal infrared (TIR) information to characterize crop water status requires at least to consider the fraction of crop cover. Even if the crop cover is known, such an interpretation remains difficult and the current issues to be overcome in the field of TIR remote sensing applications stands on bare soil effects. An experiment was conducted during summer 1999 in Montpellier (France) on a rowcotton crop in order to acquire a data set relating thermal and optical multidirectional measurements to crop structure and water status. The crop was monitored all along its development. Three plots were delimited: a reference plot with no water limitation and two plots without water supply respectively at flowering and cutout stage. On three dates, directional TIR and optical images were acquired both on the reference plot and on the one with limited water supply. Directional averaged temperatures (Ts) and Normalized Difference Vegetation Index (NDVI) values showed a strong dependence on canopy gap fraction. Ts appeared particularly influenced by directional sunlit soil fraction variability, depending on both sun/sensor angle configuration, crop structure and water status. Leaves at different levels in the canopy (with different ages and spectral properties) could be observed by the sensor, but the impact of the sunlit/shaded leaves ratio on directional temperature measurements was weak in comparison to soil effects. The different directional influence of sunlit soil fractions on Ts and NDVI values explains in a large part the limits encountered by water stress indices approaches, aiming at relating linearly such variables, when applied to partially covering crops. Such results provide an exhaustive experiment-based biophysical analysis of very high resolution multidirectional TIR signal. They point out further ways of investigations to be explored in the field of water stress indices improvement or performing. This comes as a preamble of an experiment-based analysis of the limits and opportunities of water stress indices methods, complemented with a 3D model-based analysis that allows confirmation and extrapolation of the results to larger ranges of crop characteristics and directional configurations. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/513588/1/513588.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/S0034-4257(02)00131-1 10.1016/S0034-4257(02)00131-1 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=176826 info:eu-repo/semantics/altIdentifier/doi/10.1016/S0034-4257(02)00131-1 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/S0034-4257(02)00131-1