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Proceedings Paper

Retrieval of aerosol optical thickness from PROBA-CHRIS images acquired over a coniferous forest
Author(s): Carmine Maffei; Antonio P. Leone; Massimo Menenti; Ivan Pippi; Fabio Maselli; Paolo Antonelli
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Paper Abstract

In the present work we show the potential of multiangular hyperspectral PROBA-CHRIS data to estimate aerosol optical properties over dense dark vegetation. Data acquired over San Rossore test site (Pisa, Italy) have been used together with simultaneous ground measurements. Additionally, spectral measurement over the canopy have been performed to describe the directional behavior of a Pinus pinaster canopy. Determination of aerosol properties from optical remote sensing images over land is an under-determined problem, and some assumptions have to be made on both the aerosol and the surface being imaged. Radiance measured on multiple directions add extra information that help in reducing retrieval ambiguity. Nevertheless, multiangular observations don't allow to ignore directional spectral properties of vegetation canopies. Since surface reflectivity is the parameter we wish to determine with remote sensing after atmospheric correction, at least the shape of the bi-directional reflectance factor has to be assumed. We have adopted a Rahman BRF, and have estimated its geometrical parameters from ground spectral measurements. The inversion of measured radiance to obtain aerosol optical properties has been performed, allowing simultaneous retrieval of aerosol model and optical thickness together with the vegetation reflectivity parameter of the Rahman model.

Paper Details

Date Published: 18 October 2005
PDF: 11 pages
Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59760J (18 October 2005); doi: 10.1117/12.627661
Show Author Affiliations
Carmine Maffei, CNR - ISAFoM (Italy)
Antonio P. Leone, CNR - ISAFoM (Italy)
Massimo Menenti, CNR - ISAFoM (Italy)
Univ. Louis Pasteur (France)
Ivan Pippi, CNR - IFAC (Italy)
Fabio Maselli, CNR - IBIMET (Italy)
Paolo Antonelli, Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 5976:
Remote Sensing for Agriculture, Ecosystems, and Hydrology VII
Manfred Owe; Guido D'Urso, Editor(s)

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