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Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest

Date

Date

Date
2011
Journal Article
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Lukeš, P., Rautiainen, M., Stenberg, P., & Malenovský, Z. (2011). Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest. International Journal of Applied Earth Observation and Geoinformation, 13(4), 668–675. https://doi.org/10.1016/j.jag.2011.04.003

Abstract

Abstract

Abstract

The spectral invariants theory presents an alternative approach for modeling canopy scattering in remote sensing applications. The theory is particularly appealing in the case of coniferous forests, which typically display grouped structures and require computationally intensive calculation to account for the geometric arrangement of their canopies. However, the validity of the spectral invariants theory should be tested with empirical data sets from different vegetation types. In this paper, we evaluate a method to retrieve two canop

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133 since deposited on 2011-11-25
Acq. date: 2025-11-12

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Creators (Authors)

  • Lukeš, P
  • Rautiainen, M
    affiliation.icon.alt
  • Stenberg, P
    affiliation.icon.alt
  • Malenovský, Z
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
13

Number

Number

Number
4

Page range/Item number

Page range/Item number

Page range/Item number
668

Page end

Page end

Page end
675

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2011

Date available

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Date available
2011-11-25

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Publisher

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ISSN or e-ISSN

ISSN or e-ISSN
1569-8432

OA Status

OA Status

OA Status
Closed

Metrics

Views

133 since deposited on 2011-11-25
Acq. date: 2025-11-12

Citations

Citation copied

Lukeš, P., Rautiainen, M., Stenberg, P., & Malenovský, Z. (2011). Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest. International Journal of Applied Earth Observation and Geoinformation, 13(4), 668–675. https://doi.org/10.1016/j.jag.2011.04.003

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