Radar Remote Sensing is an important research area for global climate modelling, ocean studies and forest/vegetation mapping applications. AEL are developing quantitative inversion methods for space and airborne measurement of a wide range of surface and volume conditions such as roughness, vegetation height and dielectric constant. These algorithms require a combination of electromagnetic scattering modelling and radar signal processing, both of which AEL can offer.
Currently AEL are working on inverse models for the extraction of vegetation structure. The elements of the model and the key parameters available for inversion are shown below.
