Satellite Image Time Series
A Satellite Image Time Series (or SITS) is the name given to a set of satellite images taken from the same scene at different acquisition times. In general, a SITS makes use of different satellite sources to obtain a larger data series with short time interval between two images. In this case, it is fundamental to observe the spatial resolution and registration constraints.
Satellite observations offer new opportunities for understanding how Earth is changing, for determining what reasons cause these changes, and for predicting future changes. Remotely sensed data, combined with information from ecosystem models, offers an unprecedented opportunity for predicting and understanding the behavior of the Earth's ecosystem. Sensors with high spatial and temporal resolutions make the observation of precise spatio-temporal structures in dynamic scenes more accessible. Temporal components integrated with spectral and spatial dimensions result in a valuable information source. Such pool of information allows revealing complex and important patterns concerning applications connected with environmental monitoring and analysis of land-cover dynamics.
- Petitjean, François; Gançarski, Pierre; Masseglia, Florent; Forestier, Germain (September 2010). "Analysing Satellite Image Time Series by Means of Pattern Mining". In Fyfe, Colin; Tino, Peter; Charles, Darryl; Garcia-Osorio, Cesar; Yin, Hujun. Intelligent Data Engineering and Automated Learning — IDEAL 2010: 11th International Conference (Proceedings). LNCS 6283. Springer-Verlag. pp. 45–52. ISBN 3-642-15380-1. OCLC 3719235.