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Proceedings Paper

Modeling and change-point detection for satellite instrumentation calibration coefficient time series: an example based on Landsat-5 thematic mapper data
Author(s): Jan Smid; Petr Volf; Brian L. Markham; Jennifer C. Seiferth
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Paper Abstract

The purpose of this study is to propose and study algorithms for off-line trend monitoring and change-point detection for calibration coefficient data streams. This type of algorithm is suitable for monitoring different sensors e.g. AVHRR, ETM+ and MODIS. Based on these algorithms we can produce flags for he instruments indicating normal and abnormal behavior. These algorithms can also help to discover trends and features in the calibration data. Some of these algorithms will be used by the Landsat-7 ETM+ Image Assessment System and the EOS AM1 MODIS calibration system for modeling the gain behavior of the instruments over time. Mathematically we used quadratic splines and statistical concepts for building incremental models.

Paper Details

Date Published: 18 September 1997
PDF: 9 pages
Proc. SPIE 3117, Earth Observing Systems II, (18 September 1997); doi: 10.1117/12.278921
Show Author Affiliations
Jan Smid, Morgan State Univ. (United States)
Petr Volf, UTIA (Czech Republic)
Brian L. Markham, NASA Goddard Space Flight Ctr. (United States)
Jennifer C. Seiferth, Hughes STX (United States)

Published in SPIE Proceedings Vol. 3117:
Earth Observing Systems II
William L. Barnes, Editor(s)

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