Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis

Recent progress in remote sensing has snapshotted unprecedented numbers of river planform geometry, providing opportunity to revisit the oversimplified channel shape parameterizations in global hydrologic models. This study leveraged two recent Landsat‐derived global river width databases and create...

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Veröffentlicht in:	Geophysical research letters 2020-04, Vol.47 (7), p.n/a
Hauptverfasser:	Lin, Peirong, Pan, Ming, Allen, George H., Frasson, Renato Prata, Zeng, Zhenzhong, Yamazaki, Dai, Wood, Eric F.
Format:	Artikel
Sprache:	eng
Schlagworte:	channel geometry Data analysis Data mining Datasets Downstream effects Drainage area Geographic information systems Geometry global bankfull river width Hydraulic geometry hydrodynamic modeling Hydrodynamics Hydrologic models Hydrologic studies Hydrology Landsat Landsat satellites Learning algorithms Machine learning Modelling Parameterization Planforms Remote sensing River channels Rivers Satellite imagery Shape Spaceborne remote sensing Spatial analysis Spatial variability Spatial variations Stream order Surveying Variability Width
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