Sentinel-1 Radar Bands ====================== When exporting a radar mosaic from the SEPAL platform, the following radar band metrics are available for analysis: .. thumbnail:: ../_images/feature/bands/radar_export.png :title: SEPAL Optical Bands to export :align: center :width: 50% Basic Radar Metrics (VV and VH Polarizations) --------------------------------------------- - **Metrics Included**: - *VV_min, VV_max, VV_mean, VV_std, VV_med*: Statistics of the VV polarization signal, covering minimum, maximum, mean, standard deviation, and median. - *VH_min, VH_max, VH_mean, VH_std, VH_med*: Similar statistics for the VH polarization. - *ratio_VV_med_VH_med*: The ratio of the median values of VV to VH polarizations, indicating surface roughness and moisture. - *VV_cv, VH_cv*: Coefficient of variation for VV and VH, showing the variability relative to the mean. - *NDCV (Normalized Difference Coefficient of Variation)*: A normalized measure that highlights differences in texture or moisture content between VV and VH returns. - *orbit*: The orbit direction (ascending or descending), which can affect the radar's observation angle and thus the backscatter properties. - **Description**: These metrics are essential for analyzing surface features, moisture content, vegetation, and other land cover characteristics using radar backscatter properties. - **Usage**: Widely used in agricultural monitoring, flood mapping, forest monitoring, and urban expansion studies. Harmonic Analysis Metrics (Conditional on Data Availability) ------------------------------------------------------------ - **Metrics Included** (Only if harmonic dependents are available): - *VV_phase, VV_amp, VV_res*: Phase, amplitude, and residuals of the VV signal following harmonic analysis. - *VH_phase, VH_amp, VH_res*: Similar metrics for the VH signal. - **Description**: Harmonic analysis metrics help in understanding seasonal variations and temporal patterns in the radar signal, useful for long-term monitoring. - **Usage**: Ideal for studying seasonal changes in vegetation, detecting changes in water bodies over time, and monitoring environmental changes.