Dataset for “A Hausdorff-Guided Deep Learning Approach for Monitoring the Motion of Rotating Arctic Ice Floes”

Data for manuscript submitted to GIScience & Remote Sensing entitled “A Hausdorff-Guided Deep Learning Approach for Monitoring the Motion of Rotating Arctic Ice Floes.”

The dataset contains training data used for the deep learning framework developed in the study. The data consist of multi-temporal Arctic sea ice images used to train and evaluate the proposed Hausdorff-guided method for monitoring the motion and rotation of Arctic ice floes.

Each data folder includes the input ice floe images used for model training in the manuscript. The dataset supports the development and validation of the deep learning model used to detect feature points and estimate the motion of rotating ice floes under complex Arctic marginal ice zone conditions.