APPLICATION OF MACHINE LEARNING IN URBAN GREENERY LAND COVER EXTRACTION

This study used an improved retracking algorithm, considered the corrected radar penetration rates, and included the new snow depth from the Feng Yun-3B satellite to enhance the accuracy of Arctic sea ice thickness derived from the CryoSat-2 satellite. This comprehensive optimization was the first to improve the sea ice thickness retrieval. Compared with the sea ice product derived by the Alfred Wegener Institute, the optimization cases could successfully reduce the errors above 20 %.