Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models

Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models

Sea ice motion (SIM) plays a crucial role in setting the distribution of the ice cover in the Arctic. Limited by images’ spatial resolution and tracking algorithms, challenges exist in obtaining coastal sea ice motion (SIM) based on passive microwave satellite sensors. In this study, we developed a...

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Bibliographic Details
Main Authors: Linxin Zhang, Qian Shi, Matti Leppäranta, Jiping Liu, Qinghua Yang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
sea ice motion
random forest
cryosphere
Online Access:https://www.mdpi.com/2072-4292/16/3/581

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