SEA ICE DRIFT MONITORING IN THE BOHAI SEA BASED ON GF4 SATELLITE

• Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Main Authors: Zhao, Y., Wei, P., Zhu, H., Xing, B.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2018
• Subjects: article; Verlagsveröffentlichung; Sea ice
• Online Access: https://doi.org/10.5194/isprs-archives-XLII-3-2419-2018; https://noa.gwlb.de/receive/cop_mods_00006630; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006587/isprs-archives-XLII-3-2419-2018.pdf; https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/2419/2018/isprs-archives-XLII-3-2419-2018.pdf

The Bohai Sea is the inland sea with the highest latitude in China. In winter, the phenomenon of freezing occurs in the Bohai Sea due to frequent cold wave influx. According to historical records, there have been three serious ice packs in the Bohai Sea in the past 50 years which caused heavy losses to our economy. Therefore, it is of great significance to monitor the drift of sea ice and sea ice in the Bohai Sea. The GF4 image has the advantages of short imaging time and high spatial resolution. Based on the GF4 satellite images, the three methods of SIFT (Scale invariant feature – the transform and Scale invariant feature transform), MCC (maximum cross-correlation method) and sift combined with MCC are used to monitor sea ice drift and calculate the speed and direction of sea ice drift, the three calculation results are compared and analyzed by using expert interpretation and historical statistical data to carry out remote sensing monitoring of sea ice drift results. The experimental results show that the experimental results of the three methods are in accordance with expert interpretation and historical statistics. Therefore, the GF4 remote sensing satellite images have the ability to monitor sea ice drift and can be used for drift monitoring of sea ice in the Bohai Sea.