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United States Department of Agriculture

Agricultural Research Service

Title: Validation of Bidirectional Reflectance Models Using the First Scene Acquired by the Chris Sensor over the Jornada Experimental Range

Authors
item Chopping, Mark - MONTCLAIR STATE UNIV
item Su, Lihong - BEIJING NORMAL UNIV
item Schmugge, Thomas
item Rango, Albert

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: June 15, 2003
Publication Date: July 21, 2003
Citation: CHOPPING, M.J., SU, L., SCHMUGGE, T.J., RANGO, A. VALIDATION OF BIDIRECTIONAL REFLECTANCE MODELS USING THE FIRST SCENE ACQUIRED BY THE CHRIS SENSOR OVER THE JORNADA EXPERIMENTAL RANGE. PROCEEDINGS OF THE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. 2003. V. VII. P. 4425-4427.

Interpretive Summary: Interpretive summary not required.

Technical Abstract: The Compact High Resolution Imaging Spectrometer flown on the PROBA satellite on August 5, 2002, obtained multiangular reflectance data over desert grasslands and shrublands in the USDA-ARS Jornada Experimental Range near Las Cruces, NM. An experimental satellite-borne sensor, the CHRIS is one of the few sources of consistent multiangular reflectance data on kilometer scales providing up to five looks at a given target within the space of a few minutes. Two images acquired at different sun-target-sensor geometries were used to examine the validity of a simplified geometric-optical model (SGM) of bidirectional reflectance that incorporates a prior, empirical knowledge of the scattering properties of the underlying soil. The model is based on principles of geometric-optics while providing a mechanism for encapsulating volume-scattering effects. It has been subjected to sensitivity studies and tested using a radiosity-based method with simulations driven by detailed plant maps and measurements of the optical properties of plants and soils. However, up to this point it has only been tested against multiangular data acquired from the air by tilting a digital multispectral camera; work here using data from the CHRIS sensor extends and corroborates the results presented in the previous studies.

Last Modified: 4/23/2014
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