The impact of the day of observation of image composites on adequate time series generation

Rene R. Colditz; Rainer A. Ressl

doi:10.1117/12.2029498

24 October 2013 The impact of the day of observation of image composites on adequate time series generation

Rene R. Colditz, Rainer A. Ressl

Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 88930Y (2013) https://doi.org/10.1117/12.2029498
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

Many remote sensing products that are useful for time series analysis and seasonal monitoring studies are offered in form of composites. A composite combines a number of observations of a defined period and selects or computes one value. This results in observations sampled at varying time intervals that rules out a high number of time series analysis techniques. This study investigates the impact of either using the actual day of observation to generate a time series from composites or assuming the starting or middle day of the compositing period. For this study 16-day MODIS VI composites of 1km spatial resolution from Terra and Aqua were employed. A 1100x500km region in central Mexico served as study site. Statistical measures including temporal cross-correlation and the root mean square error were used for time series analysis. A temporal shift of approximately seven days with a high variability is introduced when using the starting day of the compositing period. The middle day mitigates the mean error close to zero but still shows a high error variability. Only time series that take into account the day of observation and estimate from that samples at equidistant intervals can be used for a correct estimation of temporal characteristics.

Citation Download Citation

Rene R. Colditz and Rainer A. Ressl "The impact of the day of observation of image composites on adequate time series generation", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88930Y (24 October 2013); https://doi.org/10.1117/12.2029498

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