River ice dataset for the Yenisei River

• Main Authors: Yubao Qiu, Yixiao Zhang, Yang Li, Guoqiang Jia, Zhengxin Jiang
• Format: Dataset
• Language: English
• Published: Science Data Bank 2023
• Subjects: river ice; the Yenisei River; remote sensing; Arctic; Arctic Ocean; Yenisei River; Climate change; polar night
• Online Access: https://doi.org/10.57760/sciencedb.07544

The Yenisei River originates from the Sayan Mountains in Mongolia and is the largest river that transports water to the Arctic Ocean. Quantifying the distribution of river ice in the Yenisei River and studying its spatiotemporal changes are crucial for understanding the response of large rivers in the high latitude areas of the Northern Hemisphere to climate change. In this study, the MODIS daily snow cover data products (MOD10A1/MYD10A1) from 2002 to 2021 were used to carry out cloud removal processing to extract daily river ice extent with a resolution of 500m. The fraction of river ice, water and cloud pixels were calculated separately based on 12.5km × 12.5km grids, and a series of reprocessing processes such as filtering were carried out to reduce the impact of cloud cover and polar night, so as to obtain the corrected cloud-free river ice coverage data.