Synergy of optical and radar time series data for large area for change assessments in the tropical countries

The PhD research focuses on the development of multi-sensor time series approaches for monitoring tropical deforestation and degradation in support of REDD+ MRV by combining the advantages of optical and SAR time-series. The undergoing research aims for:

  1. Understanding SAR and optical remote sensing time-series signals of deforested and degraded tropical forest, caused by different drivers
  2. Multi-sensor approach that utilizes limited optical time-series to confirm tropical deforestation and degradation detected in dense SAR time-series
  3. Multi-sensor SAR-optical near-real time forest change detection approach
  4. Evaluating tropical forest monitoring towards the Sentinel era