This Project aims to develop time series classification methods for satellite images, in order to produce accurate temporal land-cover maps. Latest generation satellites have just begun imaging Earth frequently, completely, in high-resolution, and at no charge to end-users, introducing unprecedented opportunities to monitor the flux of our Planet's systems. However, we cannot yet make the most of these opportunities, as state-of-the-art time series classification techniques do not scale to handle such wealth of data. Through its applicability in agriculture planning, fire prevention, and disaster mapping, this Project's intended outcome is to derive substantially greater value from the massive investments into Earth Observation programmes.
|Effective start/end date||1/06/17 → 31/12/20|