Lead Detection in the Arctic Ocean: Assessment of thresholding and machine learning classification methods on Sentinel-3 SRAL altimeter for lead detection in the Arctic Ocean

• Main Author: Martin, Ericka (author)
• Other Authors: Bij de Vaate, I. (mentor), Naeije, M.C. (graduation committee), Slobbe, D.C. (graduation committee), Delft University of Technology (degree granting institution)
• Format: Master Thesis
• Language: English
• Published: 2021
• Subjects: Arctic; Lead detection; SAR altimetry; Sentinel-3; Machine Learning; Arctic Ocean; Rus’; The Sentinel; ice pack; Sea ice
• Online Access: http://resolver.tudelft.nl/uuid:f89e569e-fd1b-4fcf-81e5-e355570fb586

Detection of the openings in the Arctic sea ice pack, or leads, allow to sample instantaneous sea surface height (SSH) and this information is crucial for quantifying the impact of sea ice melting. It is therefore important to correctly detect as many leads as possible to obtain more SSH references....