Methodology for at-surface BRDF retrieval from CHRIS-PROBA observations of the San Rossore (Italy) forestry

Alessandro Barducci; Donatella Guzzi; Paolo Marcoionni; Ivan Pippi

doi:10.1117/12.561594

15 October 2004 Methodology for at-surface BRDF retrieval from CHRIS-PROBA observations of the San Rossore (Italy) forestry

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, Ivan Pippi

Author Affiliations +

Proceedings Volume 5546, Imaging Spectrometry X; (2004) https://doi.org/10.1117/12.561594
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

Bi-Directional Reflectance Distribution Function (BRDF) of natural targets is a relevant topic to many remote sensing applications. Recent satellite sensors such as the Multi-angle Imaging SpectroRadiometer (MISR) and the Compact High Resolution Imaging Spectrometer (CHRIS) supply experimental data to improve the current understanding of directional properties of reflection from natural surfaces. As a technology demonstrator to evaluate the performance of a compact and versatile system, CHRIS has been mounted on board of the European Space Agency (ESA) PRoject for On Board Autonomy 1 (PROBA-1), a small platform provided with advanced pointing capability, which allows the spectrometer to observe the same target at different viewing angles. In this paper anisotropy factors are retrieved from multiangle CHRIS images acquired over San Rossore (Italy) forestry test site during the last year. The spectral behaviour of retrieved factors for different illumination and viewing angles is addressed and analysed. Particular attention is paid to data quality and geometric and atmospheric effects correction. Finally, the deviation of the retrieved factors from the standard assumption of a Lambertian target is analysed.

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Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, and Ivan Pippi "Methodology for at-surface BRDF retrieval from CHRIS-PROBA observations of the San Rossore (Italy) forestry", Proc. SPIE 5546, Imaging Spectrometry X, (15 October 2004); https://doi.org/10.1117/12.561594

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