Remote Sensing Analysis of Erosion in Arctic Coastal Areas of Alaska and Eastern Siberia

• Published in: Remote Sensing
• Main Authors: Juan Wang, Dongling Li, Wenting Cao, Xiulin Lou, Aiqin Shi, Huaguo Zhang
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: Arctic; coastal erosion; remote sensing analysis; coastal zone; Science; Q; Ice; permafrost; Sea ice; Alaska; Siberia
• Online Access: https://doi.org/10.3390/rs14030589; https://doaj.org/article/ce222d6b8e5f47ac9e056bf89ec93416

In this study, remote sensing analysis of coastal erosion is conducted for three typical regions of Alaska and Eastern Siberia based on remote sensing data collected between 1974 and 2017. The comparative studies were made on the difference in coastal erosion at different latitudes and the difference and influencing factors in coastal erosion at similar latitudes. The coastline retreatment is used to indicate coastal erosion. It is found that the most extensive erosion occurred along Alaska’s coast, followed by that of the Eastern Siberian coasts. Based on the analysis of the historical time series of snow and ice as well as climate data, it is found that at similar latitudes, the erosion of the Arctic coasts is closely related to the trend and fluctuations of the sea surface temperature (SST). Specifically, it is found that in Alaska, coastal erosion is closely related to the fluctuation of the SST, while in Eastern Siberia, it is related to the increasing or decreasing trend of the SST. A decreasing trend is associated with low coastal erosion, whereas an increasing trend is associated with accelerated coastal erosion. In the Arctic, the strong fluctuations of the SST, the continuous decline of the sea ice cover, and the consequent increase of the significant wave height are the critical factors that cause changes in coastal permafrost and coastal erosion.