Suspended sediment concentration mapping of a multi-channel system Songzi River of the Yangtze River Basin
<p>We used Google Earth Engine and observed hydrological data to create a multiple linear regression model to map SSC in the multi-channel system Songzi River of the Yangtze. <br> <br> Hydrological data from gauging stations and Landsat surface reflectance data were collected in the study area. Water discharge and suspended sediment data were obtained from four hydrological stations, including Zhicheng, Xinjiangkou, Shadaoguan and Guanwan. Such water and sediment data were obtained from the Changjiang Water Resources Commission (CWRC). Before these datasets are released to the public, they undergo rigorous verification following the relevant government protocols. <br> <br> The Landsat program with nine satellites launched from 1972 to 2021 operated by National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS) is aimed at to detect changes in the Earth's resources and environments (https://earthexplorer.usgs.gov/). It provides the longest, continuous, moderate resolution earth observation data, which is currently free, globally available. According to the data availability the GEE platform, our study used the surface reflectance data ("LANDSAT/LT05/C01/T1_SR" and "LANDSAT/LC08/C01/ T1_SR") of Landsat 5 and Landsat 8 to investigate the spectral characteristics of SSC for the Songzi River.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0