基于Sentinel-Derived数据集的2016 - 2023年中国河流年动态研究

IF 5.3 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Kaifeng Peng;Beibei Si;Weiguo Jiang;Meihong Ma;Xuejun Wang
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引用次数: 0

摘要

河流在生态生物多样性、航运贸易和碳循环中发挥着重要作用。在本研究中,我们开发了一种有效、稳健、准确的国家尺度河流制图算法,并生成了2016 - 2023年中国河流范围年度数据集(CRED)。我们基于测试样本和数据的相互比较来评估CRED的可靠性。结果表明,2016 - 2023年,CRED的总体准确率大于88.4%。2017 - 2023年CRED的河流精度较好,河流的用户精度、生产者精度和f1评分分别超过80.4%、85.0%和83.7%。2016年,CRED的河流准确率达到中等,f1得分为78.4%。进一步的数据比较表明,我们的CRED与现有河流相关数据集具有良好的一致性,相关系数(R)大于0.75。面积统计表明,2023年中国河流面积为44948.78 km2。2016 - 2023年,河流面积呈先增加后减少再小幅增加的趋势;从空间上看,减少的河流主要分布在东南部,增加的河流主要分布在中部和东北。总体而言,CRED清晰地描绘了中国河流的范围和动态,为改善河流生态和管理提供了良好的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Annual Dynamics of China’s Rivers From 2016 to 2023 Based on Sentinel-Derived Datasets
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 intercomparison. The results indicated that the overall accuracies 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, producer accuracies 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 44948.78 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.
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来源期刊
CiteScore
9.30
自引率
10.90%
发文量
563
审稿时长
4.7 months
期刊介绍: The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.
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