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
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;
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
DOI :
10.1109/WHISPERS.2010.5594861