Modeling and change-point detection for satellite instrumentation calibration coefficient time series: an example based on Landsat-5 thematic mapper data

Jan Smid; Petr Volf; Brian L. Markham; Jennifer C. Seiferth

doi:10.1117/12.278921

18 September 1997 Modeling and change-point detection for satellite instrumentation calibration coefficient time series: an example based on Landsat-5 thematic mapper data

Jan Smid, Petr Volf, Brian L. Markham, Jennifer C. Seiferth

Author Affiliations +

Proceedings Volume 3117, Earth Observing Systems II; (1997) https://doi.org/10.1117/12.278921
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

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Jan Smid, Petr Volf, Brian L. Markham, and Jennifer C. Seiferth "Modeling and change-point detection for satellite instrumentation calibration coefficient time series: an example based on Landsat-5 thematic mapper data", Proc. SPIE 3117, Earth Observing Systems II, (18 September 1997); https://doi.org/10.1117/12.278921

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