Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies

C. Atzberger; R. Darvishzadeh; M. Schlerf; G. Le Maire

doi:10.1080/2150704X.2012.689115

Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies

C. Atzberger^*, R. Darvishzadeh, M. Schlerf, G. Le Maire

^*Corresponding author for this work

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Abstract

Methods are presented testing the suitability of PROSAIL radiative transfer model for analysing HyMap imaging spectroscopy data over grassland. The presented methods include forward modelling and cross-checks of 2D correlation plots. In the forward modelling, it is taken into account that the in situ data are not error free. To increase the predictive power of PROSAIL, a simple and fully automatic feature selection (FS) algorithm is presented identifying and discarding poorly modelled wavebands, yielding more reliable parameter retrievals.

Original language	English
Pages (from-to)	55-64
Journal	Remote sensing letters
Volume	4
Issue number	1
DOIs	https://doi.org/10.1080/2150704X.2012.689115
Publication status	Published - 2013

Keywords

2023 OA procedure

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10.1080/2150704X.2012.689115

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abstract = "Methods are presented testing the suitability of PROSAIL radiative transfer model for analysing HyMap imaging spectroscopy data over grassland. The presented methods include forward modelling and cross-checks of 2D correlation plots. In the forward modelling, it is taken into account that the in situ data are not error free. To increase the predictive power of PROSAIL, a simple and fully automatic feature selection (FS) algorithm is presented identifying and discarding poorly modelled wavebands, yielding more reliable parameter retrievals.",

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AB - Methods are presented testing the suitability of PROSAIL radiative transfer model for analysing HyMap imaging spectroscopy data over grassland. The presented methods include forward modelling and cross-checks of 2D correlation plots. In the forward modelling, it is taken into account that the in situ data are not error free. To increase the predictive power of PROSAIL, a simple and fully automatic feature selection (FS) algorithm is presented identifying and discarding poorly modelled wavebands, yielding more reliable parameter retrievals.

KW - 2023 OA procedure

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JF - Remote sensing letters

IS - 1

ER -

Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies

Abstract

Keywords

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