Ben Pietersen, Ryan Davidson
In this report Wishart Classification and H-?? decomposition of dual-polarization polarimetric Synthetic Aperture Radar (SAR) data was used to determine and classify different ground properties in an observed region in the Gauteng province of South Africa. The image processingapplication used to perform the analysis was SNAP[1]and the acquired observational area for classification was obtained by the Sentinel-1 satellite constellation. The objective of the report is to determine whether Wishart Classification and H-?? decomposition techniques can accurately classify and determine specific land features within the Vaaldam region in order to determine the best area for agricultural land development and zoning. This identification process is important as there is a steadily growing population in the Southern African Developing Countries(SADC) with an increasing demand for food and agricultural real estate [2]. The H-?? parameter combined with the Wishart classifier were used to segment the different zones of the SAR image in order to accurately classify the region. The classification and elevation map were used to determine the suitability of the possible future agricultural developments.
Synthetic Aperture Radar (SAR), Classification; Decomposition, SNAP, Vaaldam, South Africa, H-Alpha, Agriculture Planning