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

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

54 Citations (Scopus)

101 Downloads (Pure)

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

Access to Document

10.1080/2150704X.2012.689115

ArticleFinal published version, 946 KBLicence: Taverne

Cite this

@article{cb2572186b964f0a92333f32b964c81b,

title = "Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies",

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.",

keywords = "2023 OA procedure",

author = "C. Atzberger and R. Darvishzadeh and M. Schlerf and \{Le Maire\}, G.",

year = "2013",

doi = "10.1080/2150704X.2012.689115",

language = "English",

volume = "4",

pages = "55--64",

journal = "Remote sensing letters",

issn = "2150-704X",

publisher = "Taylor \& Francis",

number = "1",

}

TY - JOUR

T1 - Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies

AU - Atzberger, C.

AU - Darvishzadeh, R.

AU - Schlerf, M.

AU - Le Maire, G.

PY - 2013

Y1 - 2013

N2 - 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.

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

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2013/isi/darvishzadeh_sui.pdf

U2 - 10.1080/2150704X.2012.689115

DO - 10.1080/2150704X.2012.689115

M3 - Article

SN - 2150-704X

VL - 4

SP - 55

EP - 64

JO - Remote sensing letters

JF - Remote sensing letters

IS - 1

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this