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Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations

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Title: Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations
Authors: Meroni, M.1,2 michele.meroni@unimib.it, Colombo, R.2, Panigada, C.2
Source: Remote Sensing of Environment. Aug2004, Vol. 92 Issue 2, p195-206. 12p.
Subjects: Radiative transfer, Plantations, Biophysics, Radiation
Abstract: The potential of radiative transfer modelling and inversion techniques for operational uses is investigated in order to retrieve leaf area index in a poplar plantation. The 1-D bidirectional canopy reflectance model SAIL, coupled with the leaf optical properties model PROSPECT, was inverted with hyperspectral airborne DAIS data by means of an iterative method. The root mean square error in LAI estimation was determined against in situ measurements in order to evaluate the impact of different inversion strategies on the LAI retrieval accuracy. These included the selection of an optimal spectral sampling set, the exploitation of prior knowledge in the inversion process and the use of multiview angle data. We claim that the best configuration is achieved by exploiting multiview DAIS data and prior knowledge information about the model variables (RMSE of 0.39 m2 m-2). It is also shown that the use of prior knowledge and the selection of a limited number of bands forming the optimal spectral sampling are instrumental in increasing the accuracy of the inversion process. Our analysis confirms the operational potential of model inversion for biophysical parameter retrieval. [Copyright &y& Elsevier]
Copyright of Remote Sensing of Environment is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 14103621
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations
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  Data: <searchLink fieldCode="AR" term="%22Meroni%2C+M%2E%22">Meroni, M.</searchLink><relatesTo>1,2</relatesTo><i> michele.meroni@unimib.it</i><br /><searchLink fieldCode="AR" term="%22Colombo%2C+R%2E%22">Colombo, R.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Panigada%2C+C%2E%22">Panigada, C.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+of+Environment%22">Remote Sensing of Environment</searchLink>. Aug2004, Vol. 92 Issue 2, p195-206. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Radiative+transfer%22">Radiative transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Plantations%22">Plantations</searchLink><br /><searchLink fieldCode="DE" term="%22Biophysics%22">Biophysics</searchLink><br /><searchLink fieldCode="DE" term="%22Radiation%22">Radiation</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The potential of radiative transfer modelling and inversion techniques for operational uses is investigated in order to retrieve leaf area index in a poplar plantation. The 1-D bidirectional canopy reflectance model SAIL, coupled with the leaf optical properties model PROSPECT, was inverted with hyperspectral airborne DAIS data by means of an iterative method. The root mean square error in LAI estimation was determined against in situ measurements in order to evaluate the impact of different inversion strategies on the LAI retrieval accuracy. These included the selection of an optimal spectral sampling set, the exploitation of prior knowledge in the inversion process and the use of multiview angle data. We claim that the best configuration is achieved by exploiting multiview DAIS data and prior knowledge information about the model variables (RMSE of 0.39 m2 m-2). It is also shown that the use of prior knowledge and the selection of a limited number of bands forming the optimal spectral sampling are instrumental in increasing the accuracy of the inversion process. Our analysis confirms the operational potential of model inversion for biophysical parameter retrieval. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Remote Sensing of Environment is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.rse.2004.06.005
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 195
    Subjects:
      – SubjectFull: Radiative transfer
        Type: general
      – SubjectFull: Plantations
        Type: general
      – SubjectFull: Biophysics
        Type: general
      – SubjectFull: Radiation
        Type: general
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      – TitleFull: Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations
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            NameFull: Meroni, M.
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              Text: Aug2004
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              Y: 2004
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