CONUS Riverine Data Fusion TSS Concentration 2000-2023 Dataset
<div> <div> <h1><strong>Overview</strong></h1> <h3><strong>Available here are the datasets producing 1.8M large river sediment concentrations derived from fused (previously MODIS) and non-fused (Landsat-5,7,8,9 & Sentinel-2) image reflectances made over 1,253 CONUS sites, as validated with over 25,000 in situ measurements across these same sites using machine learning. Satellite super-resolution data fusion ‘teaches’ a coarse resolution sensor (500m) what it would have seen if it were a fine resolution satellite (30m). Datasets include:<br></strong></h3> <p><strong>trainingMatchups_2000-2023.csv -</strong> All Fusion and LS2 matchups within +/- 1 day of Water Quality Portal TSS measurements used to train a machine learning model between 2000-2023.</p> <p><strong>fusion_reflectance_raw.csv -</strong> All raw median reflectance, standard deviation, pixel count, date, and siteID data for fusion images generated between 2000-2023.</p> <p><strong>LS2_reflectance_raw.csv -</strong> All raw median reflectance, standard deviation, pixel count, date, and siteID data for LS2 images generated between 2000-2023.</p> <p><strong>fusionSed_all.csv -</strong> All TSS estimates from the RF model including matchup LS2, matchup Fusion, predicted LS2, and predicted Fusion between 2000-2023.</p> </div> </div>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0