Sea ice drift retrieval based on fengyun-3D multi-sensor data ...

• Main Authors: Wang, Xue, Xu, Zhizhuo, Lu, Ran, Chen, Zhuoqi, Hui, Fengming, Cheng, Xiao
• Format: Conference Object
• Language: unknown
• Published: GFZ German Research Centre for Geosciences 2023
• Subjects: Sea ice
• Online Access: https://dx.doi.org/10.57757/iugg23-0771; https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016727

<!--!introduction!--> Under the background of global warming, sea ice changes rapidly. Sea ice drift is an important indicator for sea ice flux, atmospheric and ocean circulation, and ship navigation. Currently, the large-scale observed sea ice drift datasets are mainly obtained based on single-sensor remotely sensed data, which suffer low spatial resolution or poor spatial continuity. Considering that passive microwave radiometer and medium-resolution optical sensor complement each other in terms of spatial resolution and continuity, this study proposed a novel sea ice drift retrieval method based on Fengyun-3D (FY-3D) multi-sensor data. The proposed method is summarized as follows. First, low resolution sea ice drift fields were obtained from FY-3D Microwave Radiation Imager (MWRI) data based on the normalized cross-correlation pattern-matching method. Then, fine resolution vectors were extracted from FY-3D Medium-Resolution Spectral Imager (MERSI) data based on A-KAZE feature-tracking method. ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...