Sea ice features extraction near the South Shetland Islands with Sentinel-1 SAR data

Cailan Gong; Wenqi Zhang; Shengmao Zhang; Wei Fan; Licheng Luo; Yong Hu

doi:10.1117/12.2282826

24 October 2017 Sea ice features extraction near the South Shetland Islands with Sentinel-1 SAR data

Cailan Gong, Wenqi Zhang, Shengmao Zhang, Wei Fan, Licheng Luo, Yong Hu

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104620T (2017) https://doi.org/10.1117/12.2282826
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

Antarctic sea ice is a sensitive factor to global climate changing. Study the sea ice changing laws is useful to choose the safe routes for the scientific investigation and merchant ships. South Shetland Islands adjacent sea is an important krill fishing area, it could be beneficial to choose the suitable days and routes to know the sea ice distribution and moving features in fishing seasons in advance. SAR data has the advantage of better penetrating ability than visible and infrared bands remote sensing data, they are more suitable to detect Antarctic sea ice than optical remote sensing data. A series of imagery pre-processing steps were carried out, including heat noise removing, radiometric calibration, speckle filtering, geo-coding, projection transformation, subarea clipping. Threshold method was carried out to detect sea ice, and 24 sea ice distribution maps were gotten from December 2015 to February 2016. Then sea ice concentration were calculated based on the sea ice extraction results maps, and sea ice changing law were analyzed in the South Shetland Islands adjacent sea area. Multi-polarization SAR data is more beneficial to improve the sea ice detection accuracy in the Antarctic sea area.

Citation Download Citation

Cailan Gong, Wenqi Zhang, Shengmao Zhang, Wei Fan, Licheng Luo, and Yong Hu "Sea ice features extraction near the South Shetland Islands with Sentinel-1 SAR data", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620T (24 October 2017); https://doi.org/10.1117/12.2282826

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