Synthetic aperture radar

Remote Sensing of Soil Moisture

Soil moisture is an essential climate variable and knowledge about its state and dynamics is vital for numerous applications, from agricultural drought monitoring to studying land– atmosphere interactions. Remote sensing instruments mounted on …

Discriminating treed and non-treed wetlands in boreal ecosystems using time series Sentinel-1 data

Wetlands are recognized for their importance to a range of ecosystem goods and services; however, detailed information on wetland presence, type, extent, and persistence is challenging to attain over large areas and/or long time periods due to the …

Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion

The fusion of microwave and optical data sets is expected to provide great potential for the derivation of forest cover around the globe. As Sentinel-1 and Sentinel-2 are now both operating in twin mode, they can provide an unprecedented data source …

An Image Transform Based on Temporal Decomposition

Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. These time series require innovative processing and preprocessing approaches including novel speckle suppression …