Nonlinear spectral mixing theory to model multispectral signatures

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Nonlinear spectral mixing occurs due to multiple reflections and transmissions between discrete surfaces, e.g. leaves or facets of a rough surface. The radiosity method is an energy conserving computational method used in thermal engineering and it models nonlinear spectral mixing realistically and accurately. In contrast to the radiative transfer method the radiosity method takes into account the discreteness of the scattering surfaces (e.g. exact location, orientation and shape) such as leaves and includes mutual shading between them. An analytic radiosity-based scattering model for vegetation was developed and used to compute vegetation indices for various configurations. The leaf reflectance and transmittance ... continued below

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10 p.

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Borel, C.C. February 1, 1996.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 16 times . More information about this article can be viewed below.

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  • Borel, C.C. Los Alamos National Lab., NM (United States). Astrophysics and Radiation Measurements Group

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Nonlinear spectral mixing occurs due to multiple reflections and transmissions between discrete surfaces, e.g. leaves or facets of a rough surface. The radiosity method is an energy conserving computational method used in thermal engineering and it models nonlinear spectral mixing realistically and accurately. In contrast to the radiative transfer method the radiosity method takes into account the discreteness of the scattering surfaces (e.g. exact location, orientation and shape) such as leaves and includes mutual shading between them. An analytic radiosity-based scattering model for vegetation was developed and used to compute vegetation indices for various configurations. The leaf reflectance and transmittance was modeled using the PROSPECT model for various amounts of water, chlorophyll and variable leaf structure. The soil background was modeled using SOILSPEC with a linear mixture of reflectances of sand, clay and peat. A neural network and a geometry based retrieval scheme were used to retrieve leaf area index and chlorophyll concentration for dense canopies. Only simulated canopy reflectances in the 6 visible through short wave IR Landsat TM channels were used. The authors used an empirical function to compute the signal-to-noise ratio of a retrieved quantity.

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10 p.

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OSTI as DE96005599

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  • 11. thematic conference on geologic remote sensing, Las Vegas, NV (United States), 27-29 Feb 1996

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  • Other: DE96005599
  • Report No.: LA-UR--95-4186
  • Report No.: CONF-960203--1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 195673
  • Archival Resource Key: ark:/67531/metadc671003

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  • February 1, 1996

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  • June 29, 2015, 9:42 p.m.

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  • Aug. 8, 2016, 8:34 p.m.

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Borel, C.C. Nonlinear spectral mixing theory to model multispectral signatures, article, February 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc671003/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.