Pang Xin

Completed a jointly supervised MSc in June 2025. The thesis was entitled “Remote Sensing Methods for Mapping Representative River Ice in Western China”.

Uses machine learning to identify river ice in the complex terrain of the Tibetan Plateau. The first-author paper was published in Remote Sensing (2025). Also co-authored a paper on identifying anomalous runoff patterns (2025) and a book chapter on river ice remote sensing (2026).

Publications and books

1. Li, H., Li, H., Zhang, H. and Pang, X. (2026) Remote sensing of river ice under climate change. In: Kelly, R. and Ellias, S. (eds.) Comprehensive Cryospheric Science and Environmental Change. Vol. 3, pp. 298-334. UK: Elsevier. DOI

2. Yiwei Liu, Hongyi Li*, Yaru Yang, Xin Pang, Liting Niu. (2025). Enhancing machine learning runoff simulation via wavelet-based abnormality pattern recognition. Journal of Hydrology, 661, 133729. DOI

3. Pang, Xin, Li, Hongyi*, Ren, Hongrui, Yang, Yaru, Zhao, Qin, Liu, Yiwei, Hao, Xiaohua, Niu, Liting. (2025). Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau. Remote Sensing, 17(11), 1889. DOI