Visual Exploration of Satellite Image Time Series

Satellite image time series are a worthwhile source of information for a broad range of applications, especially in the context of future global challenges. The challenge to discover correlations, patterns or anomalies would be eased if the data analysts might benefit of visualization tools enabling them to grasp, briefly, the characteristics of the time series. Responding to these needs, this paper proposes a graphical user interface focused on SITS visualization. While overcoming the current software limitations we developed a Python GUI interface enabling remote sensing scientists who use Python for their research, to visually analyze the satellite image time series in the same environment.