English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

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

Atzenaberger, C., Berger [Richter], K., Vuolo, F., Darvishzadeh, R., Schlerf, M. (2011): Why confining to vegetation indices? Exploiting the potential of improved spectral observations using radiative transfer models - Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, SPIE Remote Sensing, 2011 (Prague, Czech Republic 2011), 263-278.
https://doi.org/10.1117/12.898479

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Atzenaberger, C.1, Author
Berger [Richter], Katja2, Author              
Vuolo, F.1, Author
Darvishzadeh, R.1, Author
Schlerf, M.1, Author
Affiliations:
1External Organizations, ou_persistent22              
20 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 20112011
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1117/12.898479
 Degree: -

Event

show
hide
Title: SPIE Remote Sensing, 2011
Place of Event: Prague, Czech Republic
Start-/End Date: 2011-10-07 - 2011-10-07

Legal Case

show

Project information

show

Source 1

show
hide
Title: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 8174 Sequence Number: 81740Q Start / End Page: 263 - 278 Identifier: -