An efficient river width extraction algorithm for analyzing the annual variation of the river width in the upper reaches of the Yellow River

被引：0
|
作者：
Xie C. [1 ,2 ,3 ]
Liu S. [1 ,2 ,3 ]
Zhou H. [1 ,3 ]
Mo X. [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Land Water Cycle and Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
[2] Sino-Danish College, University of Chinese Academy of Sciences, Beijing
[3] University of Chinese Academy of Sciences, Beijing
来源：
Dili Xuebao/Acta Geographica Sinica | 2024年 / 79卷 / 05期
关键词：
GEE; river width; RivWidth; Sentinel-2; the upper reaches of Yellow River;
D O I：
10.11821/dlxb202405004
中图分类号：
学科分类号：
摘要：
River width is one of the key parameters for studying river dynamic processes and hydrological and hydrodynamic models. Compared with traditional hydrological stations, satellite images can achieve large- scale observations of river width. Based on Sentinel- 2 imagery, Google Earth Engine (GEE) and RivWidth tool, a new river connectivity construction method was developed to improve the computational efficiency of RivWidth tool for river width extraction, and the monthly river width dataset (MRWD) with a 10-m spatial resolution from 2019 to 2021 in the upper reaches of the Yellow River was generated by the improved algorithm. The results show that the river connectivity construction method developed in this study (referred to as the connection method) improves the computing efficiency of RivWidth tool by 24.7%. The comparison and verification results with the in-situ river width and GRWL (Global River Widths from Landsat) river width show that the mean absolute percentage error (MAPE), root mean square error (RMSE) and relative root mean square error (RRMSE) of MRWD are respectively 7.82%, 11.62 m, and 8.84%. The MRWD includes 6.1×106 river width estimations, covering 2035 km of rivers in the upper reaches of the Yellow River, of which 41% are narrower than 100 m, more than 85% are less than 500 m, and 2% are more than 1000 m. The MRWD generated in this study can provide an important reference for surface water resources management. © 2024 Science Press. All rights reserved.
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页码：1146 / 1160
页数：14
相关论文
共 52 条
  • [1] Sun W C, Fan J, Wang G Q, Et al., Calibrating a hydrological model in a regional river of the Qinghai-Tibet Plateau using river water width determined from high spatial resolution satellite images, Remote Sensing of Environment, 214, pp. 100-114, (2018)
  • [2] Xu W T, Shen Q, Wang X L, Et al., Sensing images for assessing the minimum ecological flux by automatically extracting river surface width, Remote Sensing, 12, 18, (2020)
  • [3] Lopez Dubon S, Lanzoni S., Meandering evolution and width variations: A physics-statistics-based modeling approach, Water Resources Research, 55, 1, pp. 76-94, (2019)
  • [4] Paillex A, Schuwirth N, Lorenz A W, Et al., Integrating and extending ecological river assessment: Concept and test with two restoration projects, Ecological Indicators, 72, pp. 131-141, (2017)
  • [5] Possa E M, Maillard P, de Oliveira L M., Discharge estimation for medium- sized river using multi- temporal remote sensing data: A case study in Brazil, Hydrological Sciences Journal, 65, 14, pp. 2402-2418, (2020)
  • [6] Sun W C, Ishidaira H, Bastola S, Et al., Estimating daily time series of streamflow using hydrological model calibrated based on satellite observations of river water surface width: Toward real world applications, Environmental Research, 139, pp. 36-45, (2015)
  • [7] Bates P D, De Roo A P J., A simple raster-based model for flood inundation simulation, Journal of Hydrology, 236, 1-2, pp. 54-77, (2000)
  • [8] Yamazaki D, Lee H, Alsdorf D E, Et al., Analysis of the water level dynamics simulated by a global river model: A case study in the Amazon River, Water Resources Research, 48, 9, (2012)
  • [9] Allen G H, Pavelsky T M., Global extent of rivers and streams, Science, 361, 6402, pp. 585-588, (2018)
  • [10] Krapesch G, Hauer C, Habersack H., Scale orientated analysis of river width changes due to extreme flood hazards, Natural Hazards and Earth System Sciences, 11, 8, pp. 2137-2147, (2011)
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