Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification

The accurate identification of crops is essential to help environmental sustainability and support agricultural policies. This study presents the use a Spanish radar mission, PAZ, classify areas with very high spatial resolution. PAZ was recently launched, it operates at X band, joining synthetic aperture (SAR) constellation along TerraSAR-X TanDEM-X satellites. Owing its novelty ability crop (both taking individually time series blending Sentinel-1 series), has been tested in an area central-western part Spain during 2020. random forest algorithm selected under five alternatives standalone/fused data. map accuracy resulting from standalone acceptable, but highlighted need for denser time-series overall provided by eight images or below 60%. fusion both sets improved more than 10%. In addition, exploitation whole series, many observations (up 40 same temporal window) results, reaching around 76%. performance similar that obtained joint all available two frequency bands (C X).