Exploring the Annual Dynamics of China’s Rivers From 2016 to 2023 Based on Sentinel-Derived Datasets
Year: 2025
Type: article
Abstract: Rivers play import roles in ecological biodiversity, shipping trade and carbon cycle. In our study, we developed an effective, robust, and accurate algorithm for national scale river mapping, and produced the annual China River Extent Dataset (CRED) from 2016 to 2023. We assessed the reliability of the CRED based on test samples and data inter-comparison. The results indicated that the overall accuracy (OAs) of the CRED were greater than 88.4% from 2016 to 2023. The rivers of the CRED from 2017 to 2023 achieved good accuracy, with the user accuracies (UAs), producer accuracies (PAs) and F1-score of rivers exceeding 80.4%, 85.0% and 83.7%, respectively. In 2016, rivers of the CRED achieved medium accuracy, with F1-score of 78.4%. A further data comparison indicated that our CRED had good consistency with existing river-related datasets, with correlation coefficient (R) greater than 0.75. The area statistics indicated that the river area in China were 44,948.78 km2 in 2023. From 2016 to 2023, the river areas were characterized by an initial increase, followed by a decrease and then a slight increase. Spatially, the decreased rivers were located mainly in Southeast China, whereas the increased rivers were distributed mainly in Central China and Northeast China. In general, the CRED explicitly delineated river extents and dynamics in China, which could provide a good foundation for improving river ecology and management.
Authors: Kaifeng Peng, Beibei Si, Weiguo Jiang, Meihong Ma, Xuejun Wang
Institutions: Tianjin Normal University, Beijing Normal University
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,800
Awards: G21737733, G3386555790, G716684778
OpenAlex ID: W4411867062