Satellite data proved to be of high importance in understanding and monitoring the environment. The images recorded using sensors on-board satellites represent important resources not yet exploited to their full potential. Due to significant technological improvements, every new EO mission brings a boost of information due to the available high resolution of the existing sensors. Considering the continuous, yet, irregular, data acquisition, the opportunity to generate and evaluate Satellite Image Time Series (SITS) became necessary to be exploited, for extracting significant information regarding the complex transformation and evolution processes on ground. These techniques provide solutions for the automatic discovery of regularities, relationships and temporal interdependencies, and leading to a better and easier understanding of the underlying processes that causes the detected changes in a specific zone.

The need to access and interpret SITS becomes more important with the growing interest for identifying, monitoring and analyzing dynamic and precise spatiotemporal structures like cities, agricultural fields and forests or natural phenomena (floods, landslides). Monitoring the land cover evolution is essential for understanding the environmental changes. This helps to distinguish between sudden variations (over short period of time, i.e. days or weeks) and gradual transformations (over long period of time, i.e. seasons - years).

TERRASIGNA has under development a system that will comprise general analytical methods for the exploitation of the information contained in Satellite Image Time Series (SITS), to be used in a broad range of applications such as:

  • Urban dynamic monitoring, urban management and regulation;

  • Critical infrastructure monitoring;

  • Identification of land usage categories  in  time: classification of agricultural fields/forest/ populated areas;

  • Wetlands monitoring: coastal zones and waterline evolution, coastal morphology, islands evolution;

  • Landslides identification. Understanding the process’s dynamic. Landslide morphology assessment;

  • Mining areas monitoring ;

  • Identification and monitoring of areas affected by various phenomena or variation of vegetation;

  • Disaster management;

  • Land displacement monitoring (following earthquakes or close to  strategic infrastructure);

  • Glacier displacement monitoring;

  • Health analysis for ecosystems;

  • Monitoring of dynamic processes in mountain ravine.