DocumentCode :
2470246
Title :
Thermal infrared radiosity and heat diffusion model verification and validation
Author :
Danilina, Iryna ; Gillespie, Alan R. ; Smith, Matthew ; Balick, Lee ; Abbott, Elsa
Author_Institution :
Dept. of Earth & Space Sci., Univ. of Washington, Seattle, WA, USA
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
A radiosity model used for predicting effective hyperspectral emissivity spectra and radiant temperatures for rough surfaces has been developed. Here we compare the computer model results to analytic model results in order to verify that the computer model is working properly, and validate the model results by comparison to spectra measured in the field by an hyperspectral imaging spectrometer. We measured a cm-scale DEM of the test scene using a tripod-based LiDAR. The discrepancies between analytical and modeled values are less than 0.01%. Modeled emissivity spectra deviate from the measured by no more than 0.015 emissivity units.
Keywords :
atmospheric boundary layer; brightness; digital elevation models; geophysical techniques; geophysics computing; land surface temperature; optical radar; photogrammetry; cm-scale DEM; computer model; effective hyperspectral emissivity spectra; emissivity units; heat diffusion model validation; heat diffusion model verification; hyperspectral imaging spectrometer; radiant temperatures; radiosity model; rough surfaces; thermal infrared radiosity; tripod-based LiDAR; Analytical models; Equations; Finite element methods; Materials; Mathematical model; Surface waves; Temperature measurement; Thermal infrared; model validation; radiosity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
Type :
conf
DOI :
10.1109/WHISPERS.2010.5594932
Filename :
5594932
Link To Document :
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