Title: Canopy Spectral Invariants for Remote Sensing and Model Applications
Authors: CESCATTI ALESSANDRO
Citation: REMOTE SENSING OF ENVIRONMENT vol. 106 p. 106-122
Publisher: ELSEVIER SCIENCE INC
Publication Year: 2007
JRC N°: JRC35041
ISSN: 0034-4257
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC35041
DOI: 10.1016/j.rse.2006.08.001
Type: Articles in periodicals and books
Abstract: The canopy spectral invariants state that some simple algebraic combinations of leaf and canopy spectral transmittances and reflectances eliminate their dependencies on wavelength through the specification of a small set of canopy structure specific wavelength independent variables. This set includes the canopy interceptance, the recollision and escape probabilities. These variables specify an accurate relationship between the spectral response of a vegetation canopy to the incident solar radiation at the leaf and the canopy scale and allow for a simple and accurate parameterization for the partitioning of the incoming radiation into canopy transmission, reflection and absorption at any wavelength in the solar spectrum. This paper presents a solid theoretical basis for spectral invariant relationships reported in literature with an emphasis on their accuracies in describing the shortwave radiative properties of the three-dimensional vegetation canopies. The analysis of data on leaf and canopy spectral transmittances and reflectances collected during the international field campaign in Flakaliden, Sweden, June 25 – July 4, 2002 support the proposed theory. The results presented here is essential to both modeling and remote sensing communities. The canopy spectral invariants offer a simple and accurate parameterization for the shortwave radiation block in many global models of climate, hydrology, biogeochemestry, and ecology. In remote sensing applications, the information content of hyperspectral data can be fully exploited if the wavelength independent variables can be retrieved, for they can be more directly related to structural characteristics of the three dimensional vegetation canopy.
JRC Directorate:Sustainable Resources

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