Paper
27 November 2024 Analysis of river morphology change in Zhengzhou reach of the Yellow River based on long time series remote sensing images
Ziwei Li, Bingjie Liang, Yi Chen, Wen Ge, Xingran Deng, Jianzhong Guo
Author Affiliations +
Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 134020X (2024) https://doi.org/10.1117/12.3048634
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China
Abstract
The Zhengzhou reach of the Yellow River is a typical meandering section with frequent changes in river morphology. In this paper, using satellite remote sensing technology and Landsat 8 satellite imagery data, the morphological changes of the Yellow River in Zhengzhou (Taohuayu - Huayuankou) in the lower reaches from 2013 to 2022 were quantitatively studied and analyzed. The overall water surface area of the study segment changes significantly (61.8 square kilometers), while the length remains stable. The variations in the area and length of the river segment exhibit a pattern of phased changes. Regarding the main meanders, the first and third meanders showed a trend of initial strengthening followed by weakening, while the second meander showed an upward trend. The intensity of the river's morphological changes followed a pattern of stability, followed by a period of drastic alteration, and then a return to stability. Overall, the tendency for the river segment in the study area to meander has diminished over the study period.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ziwei Li, Bingjie Liang, Yi Chen, Wen Ge, Xingran Deng, and Jianzhong Guo "Analysis of river morphology change in Zhengzhou reach of the Yellow River based on long time series remote sensing images", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 134020X (27 November 2024); https://doi.org/10.1117/12.3048634
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KEYWORDS
Remote sensing

Satellites

Satellite imaging

Floods

Earth observing sensors

Feature extraction

Landsat

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