How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice

•Sea ice in polar region have become increasingly important due to it’s a sensitive climate change indicator. •High spatial resolution (HSR) imagery is critical in Arctic sea ice research for verifying the satellite data, extracting sea ice physical parameters •This project aims to develop an open s...

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Bibliographic Details
Main Authors: Chaowei Yang, Dexuan Sha, Anusha Srirenganathan, Xin Miao, Hongjie Xie, Younghyun Koo
Format: Other/Unknown Material
Language:unknown
Published: 2022
Subjects:
sea ice
arctic
climate change
AI
training datasets
online service
Arctic
Climate change
Sea ice
Online Access:https://zenodo.org/record/6874974
https://doi.org/10.5281/zenodo.6874974
Description
Summary:•Sea ice in polar region have become increasingly important due to it’s a sensitive climate change indicator. •High spatial resolution (HSR) imagery is critical in Arctic sea ice research for verifying the satellite data, extracting sea ice physical parameters •This project aims to develop an open science approach to collect and process the HSR data, integrate knowledge, and analyze scientific phenomena to support polar sciences.

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