Combined model- and image-based procedure for calibrating multitemporal sequences of TM and ETM+ imagery to absolute reflectance values

Luigi John Renzullo; Brendan T. McGann; Mervyn J. Lynch

doi:10.1117/12.472689

11 June 2003 Combined model- and image-based procedure for calibrating multitemporal sequences of TM and ETM+ imagery to absolute reflectance values

Luigi John Renzullo, Brendan T. McGann, Mervyn J. Lynch

Author Affiliations +

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.472689
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

An extension to the like-value procedure is proposed for calibrating multitemporal sequences of TM and ETM+ imagery to absolute reflectance values. The procedure described differs from the conventional approach by using a calibrated reference image and constraining the line of best fit to pass through the modeled digital number (DN) for a target with zero surface flectance. It was demonstrated that the resulting lines calibrate image DNs to surface reflectance values by simultaneously correcting for the additive and multiplicative components of the sensor output that result from changes in sensor response, solar position and atmospheric effects over time. In a comparison to reference image reflectances, the precision of the procedure was shown to be very good for the visible spectral bands but poorer for the infrared bands. Generally errors in retrieval were within the range considered acceptable for most practical applications. For the data used in the analysis, the procedure was shown to be insensitive to uncertainty in input parameters required to model path DN.

Citation Download Citation

Luigi John Renzullo, Brendan T. McGann, and Mervyn J. Lynch "Combined model- and image-based procedure for calibrating multitemporal sequences of TM and ETM+ imagery to absolute reflectance values", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.472689

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