"1"^^ . "spectral invariants; remote sensing data"@en . "10.1109/WHISPERS.2010.5594861" . . "Estimating canopy spectral invariants from ground reference and remote sensing data" . "Estimating canopy spectral invariants from ground reference and remote sensing data"@en . "Estimating canopy spectral invariants from ground reference and remote sensing data"@en . . "2nd workshop on Hyperspectral image and signal processing: evolution in remote sensing. 14-16. June 2010, Reykjavik, Iceland" . . "Z(AV0Z60870520)" . "4"^^ . "Reykjavik" . . . . "Reykjav\u00EDk" . "RIV/67179843:_____/10:00360256" . "[33F1E9625F25]" . . . "257533" . . "Stenberg, P." . "IEE Whispers" . . "RIV/67179843:_____/10:00360256!RIV12-AV0-67179843" . . "Estimating canopy spectral invariants from ground reference and remote sensing data" . "Rautianien, M." . "Luke\u0161, Petr" . "Mottus, M." . "5"^^ . "2010-06-14+02:00"^^ . . "Physically-based remote sensing methods have progressively become more attractive for monitoring the vertical and horizontal structure of vegetation. A relatively recent development in modeling the radiation field of a vegetation canopy is the spectral invariants theory. The theory states that the radiation budget of a vegetation canopy can be parameterized using only spectrally invariant parameters which depend on canopy structure in a complex manner. In this paper, we briefly review how spectral invariants can be estimated from hyperspectral remote sensing data or in situ vegetation canopy gap fraction measurements." . . "978-1-4244-8906-0" . . "Physically-based remote sensing methods have progressively become more attractive for monitoring the vertical and horizontal structure of vegetation. A relatively recent development in modeling the radiation field of a vegetation canopy is the spectral invariants theory. The theory states that the radiation budget of a vegetation canopy can be parameterized using only spectrally invariant parameters which depend on canopy structure in a complex manner. In this paper, we briefly review how spectral invariants can be estimated from hyperspectral remote sensing data or in situ vegetation canopy gap fraction measurements."@en . . "Heiskanen, J." .