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  • 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 canopy spectral invariants, the recollision probability and the escape factor, for a coniferous forest using imaging spectroscopy data from multiangular CHRIS PROBA and NADIR-view AISA Eagle sensors. Our results indicated that in coniferous canopies the spectral invariants theory performs well in the near infrared spectral range. In the visible range, on the other hand, the spectral invariants theory may not be useful.
  • 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 canopy spectral invariants, the recollision probability and the escape factor, for a coniferous forest using imaging spectroscopy data from multiangular CHRIS PROBA and NADIR-view AISA Eagle sensors. Our results indicated that in coniferous canopies the spectral invariants theory performs well in the near infrared spectral range. In the visible range, on the other hand, the spectral invariants theory may not be useful. (en)
Title
  • Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest
  • Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest (en)
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  • Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest
  • Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest (en)
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  • RIV/67179843:_____/11:00360186!RIV12-MZP-67179843
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0073), P(SP/2D1/70/08), Z(AV0Z60870520)
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  • 4
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  • 197398
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  • RIV/67179843:_____/11:00360186
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  • recollision probability; escape factor; needle albedo; CHRIS PROBA; AISA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
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  • [83E73A6DE93A]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Applied Earth Observation and Geoinformation
http://linked.open...in/vavai/riv/obor
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  • 13
http://linked.open...iv/tvurceVysledku
  • Lukeš, Petr
  • Malenovský, Z.
  • Rautianien, M.
  • Stenberg, P.
http://linked.open...ain/vavai/riv/wos
  • 000292489900016
http://linked.open...n/vavai/riv/zamer
issn
  • 0303-2434
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.jag.2011.04.003
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