Evolution of the Floe Size Distribution in Arctic Summer Based on High-Resolution Satellite Imagery

• Published in: Remote Sensing
• Main Authors: Zongxing Li, Peng Lu, Jiaru Zhou, Hang Zhang, Puzhen Huo, Miao Yu, Qingkai Wang, Zhijun Li
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2024
• Subjects: image processing; floe size distribution; upper-truncated power law function; Weibull function; Science; Q; Arctic
• Online Access: https://doi.org/10.3390/rs16142545; https://doaj.org/article/4befba3c6bf54206aafda60a9ef013a6

In this paper, based on high-resolution satellite images near an ice bridge in the Canadian Basin, we extracted floe size parameters and analyzed the temporal and spatial variations in the parameters through image processing techniques. The floe area shows a decreasing trend over time, while the perimeter and mean clamped diameter (MCD) exhibit no obvious pattern of change. In addition, the roundness of floes, reflected by shape parameters, generally decreases initially and then increases, and the average roundness of small floes is smaller than that of large floes. To correct the deviations from power law behaviour when assessing the floe size distribution (FSD) with the traditional power law function, the upper-truncated power law distribution function and the Weibull function are selected. The four parameters of the two functions are important parameters for describing the floe size distribution, and <semantics> L r </semantics> and <semantics> L 0 </semantics> are roughly equal to the maximum calliper diameter and the average calliper diameter of the floes in the region. <semantics> D </semantics> in the upper-truncated power law distribution function represents the fractal dimension of the floes, and <semantics> r </semantics> in the Weibull function represents the shape parameter of the floes, both of which increase and then decrease with time. In this paper, we investigate the response of the rate of change in the FSD parameter to the differences in the monthly average temperature and find that <semantics> D </semantics> , <semantics> r </semantics> and air temperature are positively correlated, which verifies the influence of air temperature on the floe size distribution.