DocumentCode
2468609
Title
Estimating canopy spectral invariants from ground reference and remote sensing data
Author
Rautiainen, Miina ; Stenberg, Pauline ; Lukes, Petr ; Mottus, Matti ; Heiskanen, Janne
Author_Institution
Dept. of Forest Sci., Univ. of Helsinki, Helsinki, Finland
fYear
2010
fDate
14-16 June 2010
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
atmospheric boundary layer; atmospheric radiation; remote sensing; vegetation mapping; canopy spectral invariants; ground reference data; horizontal structure; hyperspectral remote sensing data; radiation budget; radiation field; remote sensing methods; spectral invariants theory; spectrally invariant parameters; vegetation canopy gap fraction measurements; vertical structure; Hyperspectral imaging; Optical reflection; Photonics; Reflectivity; Vegetation; forest; remote sensing; spectral invariants;
fLanguage
English
Publisher
ieee
Conference_Titel
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location
Reykjavik
Print_ISBN
978-1-4244-8906-0
Electronic_ISBN
978-1-4244-8907-7
Type
conf
DOI
10.1109/WHISPERS.2010.5594861
Filename
5594861
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