The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers

• Published in: Remote Sensing
• Main Authors: Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: leads; sea ice; MODIS; Science; Q; Arctic; Sea ice
• Online Access: https://doi.org/10.3390/rs11050521; https://doaj.org/article/928cdae533e0439ab402af141352ee4f

Sea ice leads (fractures) play a critical role in the exchange of mass and energy between the ocean and atmosphere in the polar regions. The thinning of Arctic sea ice over the last few decades will likely result in changes in lead distributions, so monitoring their characteristics is increasingly important. Here we present a methodology to detect and characterize sea ice leads using satellite imager thermal infrared window channels. A thermal contrast method is first used to identify possible sea ice lead pixels, then a number of geometric and image analysis tests are applied to build a subset of positively identified leads. Finally, characteristics such as width, length and orientation are derived. This methodology is applied to Moderate Resolution Imaging Spectroradiometer (MODIS) observations for the months of January through April over the period of 2003 to 2018. The algorithm results are compared to other satellite estimates of lead distribution. Lead coverage maps and statistics over the Arctic illustrate spatial and temporal lead patterns.