Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations
The leaf area index (LAI) is a key characteristic of forest ecosystems. Estimations of LAI from satellite images generally rely on spectral vegetation indices (SVIs) or radiative transfer model (RTM) inversions. We have developed a new and precise method suitable for practical application, consisting of building a species-specific SVI that is best-suited to both sensor and vegetation characteristics. Such an SVI requires calibration on a large number of representative vegetation conditions. We developed a two-step approach: (1) estimation of LAI on a subset of satellite data through RTM inversion; and (2) the calibration of a vegetation index on these estimated LAI. We applied this methodology to Eucalyptus plantations which have highly variable LAI in time and space. Previous results showed that an RTM inversion of Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared and red reflectance allowed good retrieval performance (R2 = 0.80, RMSE = 0.41), but was computationally difficult. Here, the RTM results were used to calibrate a dedicated vegetation index (called "EucVI") which gave similar LAI retrieval results but in a simpler way. The R2 of the regression between measured and EucVI-simulated LAI values on a validation dataset was 0.68, and the RMSE was 0.49. The additional use of stand age and day of year in the SVI equation slightly increased the performance of the index (R2 = 0.77 and RMSE = 0.41). This simple index opens the way to an easily applicable retrieval of Eucalyptus LAI from MODIS data, which could be used in an operational way.
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dig-cirad-fr-5671282024-01-28T21:05:56Z http://agritrop.cirad.fr/567128/ http://agritrop.cirad.fr/567128/ Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations. Le Maire Guerric, Marsden Claire, Nouvellon Yann, Stape Jose Luiz, Ponzoni Flávio Jorge. 2012. Remote Sensing, 4 (2) : 3766-3780.https://doi.org/10.3390/rs4123766 <https://doi.org/10.3390/rs4123766> Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations Le Maire, Guerric Marsden, Claire Nouvellon, Yann Stape, Jose Luiz Ponzoni, Flávio Jorge eng 2012 Remote Sensing F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U30 - Méthodes de recherche K10 - Production forestière U10 - Informatique, mathématiques et statistiques Eucalyptus plantations indice de surface foliaire méthodologie télédétection spectrométrie réflectométrie modélisation environnementale mesure (activité) âge variation saisonnière spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_35196 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7283 http://aims.fao.org/aos/agrovoc/c_36855 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_186 http://aims.fao.org/aos/agrovoc/c_24894 http://aims.fao.org/aos/agrovoc/c_28568 The leaf area index (LAI) is a key characteristic of forest ecosystems. Estimations of LAI from satellite images generally rely on spectral vegetation indices (SVIs) or radiative transfer model (RTM) inversions. We have developed a new and precise method suitable for practical application, consisting of building a species-specific SVI that is best-suited to both sensor and vegetation characteristics. Such an SVI requires calibration on a large number of representative vegetation conditions. We developed a two-step approach: (1) estimation of LAI on a subset of satellite data through RTM inversion; and (2) the calibration of a vegetation index on these estimated LAI. We applied this methodology to Eucalyptus plantations which have highly variable LAI in time and space. Previous results showed that an RTM inversion of Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared and red reflectance allowed good retrieval performance (R2 = 0.80, RMSE = 0.41), but was computationally difficult. Here, the RTM results were used to calibrate a dedicated vegetation index (called "EucVI") which gave similar LAI retrieval results but in a simpler way. The R2 of the regression between measured and EucVI-simulated LAI values on a validation dataset was 0.68, and the RMSE was 0.49. The additional use of stand age and day of year in the SVI equation slightly increased the performance of the index (R2 = 0.77 and RMSE = 0.41). This simple index opens the way to an easily applicable retrieval of Eucalyptus LAI from MODIS data, which could be used in an operational way. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/567128/1/document_567128.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.3390/rs4123766 10.3390/rs4123766 info:eu-repo/semantics/altIdentifier/doi/10.3390/rs4123766 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.3390/rs4123766 |
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F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U30 - Méthodes de recherche K10 - Production forestière U10 - Informatique, mathématiques et statistiques Eucalyptus plantations indice de surface foliaire méthodologie télédétection spectrométrie réflectométrie modélisation environnementale mesure (activité) âge variation saisonnière spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_35196 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7283 http://aims.fao.org/aos/agrovoc/c_36855 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_186 http://aims.fao.org/aos/agrovoc/c_24894 http://aims.fao.org/aos/agrovoc/c_28568 F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U30 - Méthodes de recherche K10 - Production forestière U10 - Informatique, mathématiques et statistiques Eucalyptus plantations indice de surface foliaire méthodologie télédétection spectrométrie réflectométrie modélisation environnementale mesure (activité) âge variation saisonnière spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_35196 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7283 http://aims.fao.org/aos/agrovoc/c_36855 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_186 http://aims.fao.org/aos/agrovoc/c_24894 http://aims.fao.org/aos/agrovoc/c_28568 |
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F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U30 - Méthodes de recherche K10 - Production forestière U10 - Informatique, mathématiques et statistiques Eucalyptus plantations indice de surface foliaire méthodologie télédétection spectrométrie réflectométrie modélisation environnementale mesure (activité) âge variation saisonnière spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_35196 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7283 http://aims.fao.org/aos/agrovoc/c_36855 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_186 http://aims.fao.org/aos/agrovoc/c_24894 http://aims.fao.org/aos/agrovoc/c_28568 F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U30 - Méthodes de recherche K10 - Production forestière U10 - Informatique, mathématiques et statistiques Eucalyptus plantations indice de surface foliaire méthodologie télédétection spectrométrie réflectométrie modélisation environnementale mesure (activité) âge variation saisonnière spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_35196 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7283 http://aims.fao.org/aos/agrovoc/c_36855 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_186 http://aims.fao.org/aos/agrovoc/c_24894 http://aims.fao.org/aos/agrovoc/c_28568 Le Maire, Guerric Marsden, Claire Nouvellon, Yann Stape, Jose Luiz Ponzoni, Flávio Jorge Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations |
description |
The leaf area index (LAI) is a key characteristic of forest ecosystems. Estimations of LAI from satellite images generally rely on spectral vegetation indices (SVIs) or radiative transfer model (RTM) inversions. We have developed a new and precise method suitable for practical application, consisting of building a species-specific SVI that is best-suited to both sensor and vegetation characteristics. Such an SVI requires calibration on a large number of representative vegetation conditions. We developed a two-step approach: (1) estimation of LAI on a subset of satellite data through RTM inversion; and (2) the calibration of a vegetation index on these estimated LAI. We applied this methodology to Eucalyptus plantations which have highly variable LAI in time and space. Previous results showed that an RTM inversion of Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared and red reflectance allowed good retrieval performance (R2 = 0.80, RMSE = 0.41), but was computationally difficult. Here, the RTM results were used to calibrate a dedicated vegetation index (called "EucVI") which gave similar LAI retrieval results but in a simpler way. The R2 of the regression between measured and EucVI-simulated LAI values on a validation dataset was 0.68, and the RMSE was 0.49. The additional use of stand age and day of year in the SVI equation slightly increased the performance of the index (R2 = 0.77 and RMSE = 0.41). This simple index opens the way to an easily applicable retrieval of Eucalyptus LAI from MODIS data, which could be used in an operational way. |
format |
article |
topic_facet |
F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U30 - Méthodes de recherche K10 - Production forestière U10 - Informatique, mathématiques et statistiques Eucalyptus plantations indice de surface foliaire méthodologie télédétection spectrométrie réflectométrie modélisation environnementale mesure (activité) âge variation saisonnière spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_35196 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7283 http://aims.fao.org/aos/agrovoc/c_36855 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_186 http://aims.fao.org/aos/agrovoc/c_24894 http://aims.fao.org/aos/agrovoc/c_28568 |
author |
Le Maire, Guerric Marsden, Claire Nouvellon, Yann Stape, Jose Luiz Ponzoni, Flávio Jorge |
author_facet |
Le Maire, Guerric Marsden, Claire Nouvellon, Yann Stape, Jose Luiz Ponzoni, Flávio Jorge |
author_sort |
Le Maire, Guerric |
title |
Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations |
title_short |
Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations |
title_full |
Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations |
title_fullStr |
Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations |
title_full_unstemmed |
Calibration of a species-specific spectral vegetation index for leaf Aaea index (LAI) monitoring: Example with MODIS Reflectance time-series on eucalyptus plantations |
title_sort |
calibration of a species-specific spectral vegetation index for leaf aaea index (lai) monitoring: example with modis reflectance time-series on eucalyptus plantations |
url |
http://agritrop.cirad.fr/567128/ http://agritrop.cirad.fr/567128/1/document_567128.pdf |
work_keys_str_mv |
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