GLOW-S River Width dataset
Authors/Creators
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:
- 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.
- 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
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Additional details
Funding
- NASA Research Park
- NASA Terrestrial Hydrology Program 80NSSC22K0987
Dates
- Submitted
-
2024-05-23The manuscript was submitted for review on this date.
Software
- Programming language
- Python , JavaScript