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United States Department of Agriculture

Agricultural Research Service

Title: Differences in Grass-Shrub Transition Zone Canopy Composition from Chris/proba Multi-Angle Data

Authors
item Chopping, Mark - MONTCLAIR STATE UNIV
item Snyder, Cindy - MONTCLAIR STATE UNIV
item Laliberte, Andrea - NEW MEXICO STATE UNIV
item Rango, Albert
item Maxwell, Connie

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: September 20, 2004
Publication Date: September 20, 2004
Citation: Chopping, M.J., Snyder, C., Laliberte, A., Rango, A., Maxwell, C.J. 2004. Differences in grass-shrub transition zone canopy composition from CHRIS/PROBA multi-angle data. Proceedings of the International Geoscience and Remote Sensing Symposium. VII:4746-4749.

Interpretive Summary: Interpretive summary not required for proceedings.

Technical Abstract: The surface spectral-directional reflectance of a grass-shrub transition zone at 631 nm was estimated from spectral radiance images in a narrow (~10 nm wide) band recorded by the Compact High-Resolution Imaging Spectrometer (CHRIS) flown on the European Space Agency's Proba micro-satellite. An experimental satellite-borne sensor developed by Sira Electro-Optics Ltd. (UK), CHRIS is one of the few sources of multi-angular reflectance data on kilometer scales, providing up to five looks in different directions at a given target within the space of a few minutes. For a selected December 23, 2003, overpass, orbital ephemeris were used to obtain the viewing geometry for the set of four available images. The images were resampled to a consistent 25-m grid and used to invert a simple geometric bidirectional reflectance distribution (BRDF) model for plant number density, plant width and plant height. The retrieved parameters were compared to subsets of high-resolution aerial photographs. The inversions did not always result in the expected parameter behavior and further work is required to determine the underlying reasons, which may include decoupling model parameter response to brightness and anisotropy.

Last Modified: 10/24/2014
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