Heterogeneous SAR Sequence Processing for Land Cover Mapping

The use of multitemporal SAR sequences is becoming more intensive in mapping and change detection applications, be-cause of the availability of data sets with enough time length and sampling frequency. However, this procedure often requires to consider sequences of heterogeneous SAR data sets acquired by different sensors with different spatial resolution, frequency and polarimetric features. Their full exploitation is still an open and interesting research task. This work introduces first a pre-processing sequence ap-plied by the team of the project MultiBiGSARData to obtain calibrated and co-registered heterogeneous SAR sequences. Then, a first example of their use for land cover classification is provided. The results are shown for test areas in Italy and Argentina, because the data sets are obtained by combining images acquired by the SIAGSE constellation, composed by the COSMO-SkyMed (CSK), COSMO-SkyMed Second Generation (CSG), and SAOCOM satellites.