The data of the paper "Arctic sea ice lead detection from Chinese HY-2B radar altimeter data"

It includes some radar altimeter data of HY-2B, some SAR images of Sentinel, and the data of CryoSat-2.The process of data:Firstly, the pretreatment process of Sentinel-1 SAR image: Radiometric calibration, Incidence angle correction, Filter by refined Lee algorithm, and K-means image segmentation.Secondly, we statistic the sea ice concentration of HY-2B altimeter waveform within the effective radar footprint (1.9 km and 10 km) based on the results of the Sentinel-1 SAR image.

Then, set the sea ice concentration to <80% within a 1.9 km footprint as ice lead, set the sea ice concentration of 100% within a 10 km diameter as sea ice, and get some waveforms of open water using the manual method and Sentinel-1 SAR images. Note that the time difference between HY-2B altimeter data and Sentinel-1 should not exceed 4 hours.Thirdly, after collecting the labeled dataset of the HY-2B altimeter, use ten classification methods described in the paper for classification.Finally, compare the classification results with the L2I products of CryoSat-2 using lead fraction.