The Data for : Machine Learning Algorithm for SAR Wave Spectrum Retrieval in the Arctic Ocean

This data is used for XGBoost training and consists of 8 columns, with each column corresponding to a data parameter. The model is located in the platform titled The Model for : Machine Learning Algorithm for SAR Wave Spectrum Retrieval in the Arctic Ocean. Among these, The first feature is the one-dimensional SAR intensity spectrum, the second feature is tilt modulation , the third and fourth features are the real and imaginary parts of velocity bunching modulation, and the fifth and sixth features are the real and imaginary parts of hydrodynamic modulation, the seventh feature is the wavenumber, and the eighth column is the ground truth value.