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Published May 15, 2024 | Version v1
Dataset Open

GLOW-S River Width dataset

Contributors

Project leader:

  • 1. ROR icon University of Cincinnati

Description

Introduction:

The GLOW-S dataset provides a comprehensive record of global river widths, captured with high-resolution Sentinel-2 imagery. This dataset focuses on delivering an enhanced spatial and temporal analysis of river widths, suitable for diverse hydrological and environmental studies.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     

Data Collection and Processing:

  1. Image Source: River width data were extracted from Sentinel-2 satellite imagery accessed via Google Earth Engine, utilizing higher resolution capabilities than previous datasets based on Landsat.
  2. Extraction Methodology: Following validated methods from prior research (Feng et al., 2019; 2022), the dataset involves:
    • Identification of rivers observable in Sentinel-2 images.
    • Construction of cross-sections for width extraction.
    • Application of quality filters on images to ensure accuracy in width measurements.
    • Determination of water extent and subsequent river width calculation at each cross-section for images spanning 2017 to 2022.

Dataset Features:

  • Temporal Coverage: Data spans from 2017 to 2022, capturing seasonal and interannual variations in river width.
  • Spatial Resolution: Utilizes the superior spatial resolution of 10m from Sentinel-2 for detailed river width analysis.

Postprocessing: When multiple observations for the same cross-section and date exist, the dataset averages these widths to enhance usability.

Column names:

  • riverID (cross section identifier): R<COMID>XS<Section ID>
  • date (image capture date): YYYY-MM-DD
  • width (river width captured in meters)

Additional data: The shapefiles of cross sections are also attached alongside.

Files

GLOW-S_regions_merged.zip

Files (13.9 GB)

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md5:f7aa495325bece8c904206fc7bb9a017
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md5:6c516ae39353d003b978f8e2c10e4cd0
12.3 GB Preview Download

Additional details

Funding

NASA Research Park
NASA Terrestrial Hydrology Program 80NSSC22K0987

Dates

Submitted
2024-05-23
The manuscript was submitted for review on this date.

Software

Programming language
Python , JavaScript