A Satellite Image Time Series (SITS) is a set of satellite images taken from the same scene at different times. 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 opportunities for understanding how Earth is changing, for determining the causes of these changes, and for predicting future changes. Remotely sensed data, combined with information from ecosystem models, offers an 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 allows the identification of complex patterns concerning applications connected with environmental monitoring and analysis of land-cover dynamics.
References
edit- 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 (eds.). Intelligent Data Engineering and Automated Learning — IDEAL 2010: 11th International Conference (Proceedings). Vol. LNCS 6283. Springer-Verlag. pp. 45–52. ISBN 978-3-642-15380-8. OCLC 3719235.