Why confining to vegetation indices? exploiting the potential of improved spectral observations using radiative transfer models

C. Atzberger; K. Richter; F. Vuolo; R. Darvishzadeh; M. Schlerf

doi:10.1117/12.898479

Why confining to vegetation indices? exploiting the potential of improved spectral observations using radiative transfer models

C. Atzberger, K. Richter, F. Vuolo, R. Darvishzadeh, M. Schlerf

Research output: Contribution to conference › Conference paper

13 Citations (Scopus)

Abstract

Vegetation indices (VI) combine mathematically a few selected spectral bands to minimize undesired effects of soil background, illumination conditions and atmospheric perturbations. In this way, the relation to vegetation biophysical variables is enhanced. Albeit numerous experiments found close relationships between vegetation indices and several important vegetation biophysical variables, well known shortcomings and drawbacks remain. Important limitations of VIs are illustrated and discussed in this paper. As most of the limitations can be overcome using physically-based radiative transfer models (RTM), advantages and limits of RTM are also presented. © 2011 SPIE.

Original language	English
DOIs	https://doi.org/10.1117/12.898479
Publication status	Published - 2011
Event	Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII - Duration: 19 Sep 2011 → 21 Sep 2011

Conference

Conference	Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Period	19/09/11 → 21/09/11

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10.1117/12.898479

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title = "Why confining to vegetation indices? exploiting the potential of improved spectral observations using radiative transfer models",

abstract = "Vegetation indices (VI) combine mathematically a few selected spectral bands to minimize undesired effects of soil background, illumination conditions and atmospheric perturbations. In this way, the relation to vegetation biophysical variables is enhanced. Albeit numerous experiments found close relationships between vegetation indices and several important vegetation biophysical variables, well known shortcomings and drawbacks remain. Important limitations of VIs are illustrated and discussed in this paper. As most of the limitations can be overcome using physically-based radiative transfer models (RTM), advantages and limits of RTM are also presented. {\textcopyright} 2011 SPIE.",

author = "C. Atzberger and K. Richter and F. Vuolo and R. Darvishzadeh and M. Schlerf",

year = "2011",

doi = "10.1117/12.898479",

language = "English",

note = "Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII ; Conference date: 19-09-2011 Through 21-09-2011",

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T1 - Why confining to vegetation indices? exploiting the potential of improved spectral observations using radiative transfer models

AU - Atzberger, C.

AU - Richter, K.

AU - Vuolo, F.

AU - Darvishzadeh, R.

AU - Schlerf, M.

PY - 2011

Y1 - 2011

N2 - Vegetation indices (VI) combine mathematically a few selected spectral bands to minimize undesired effects of soil background, illumination conditions and atmospheric perturbations. In this way, the relation to vegetation biophysical variables is enhanced. Albeit numerous experiments found close relationships between vegetation indices and several important vegetation biophysical variables, well known shortcomings and drawbacks remain. Important limitations of VIs are illustrated and discussed in this paper. As most of the limitations can be overcome using physically-based radiative transfer models (RTM), advantages and limits of RTM are also presented. © 2011 SPIE.

AB - Vegetation indices (VI) combine mathematically a few selected spectral bands to minimize undesired effects of soil background, illumination conditions and atmospheric perturbations. In this way, the relation to vegetation biophysical variables is enhanced. Albeit numerous experiments found close relationships between vegetation indices and several important vegetation biophysical variables, well known shortcomings and drawbacks remain. Important limitations of VIs are illustrated and discussed in this paper. As most of the limitations can be overcome using physically-based radiative transfer models (RTM), advantages and limits of RTM are also presented. © 2011 SPIE.

U2 - 10.1117/12.898479

DO - 10.1117/12.898479

M3 - Conference paper

T2 - Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII

Y2 - 19 September 2011 through 21 September 2011

ER -