Assembling an image time series is a challenging task. Clouds, haze and shadows frequently obscure the observed objects. In practice, data of multiple satellite missions have to be combined - data fusion - to realize an information stream without data gaps. For this we use essential techniques, such as:

• Radiometric calibration
• Cross-sensor image calibration
• Atmospheric correction

End-to-end applications require more input than just remote sensing data. Spatial databases have to be constructed to fuse remote sensing data with other data of our physical (soil maps, climatology…) and socio-economic (household info, land ownership, production…) environment.