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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 &amp; 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 &lsquo;teaches&rsquo; a coarse resolution sensor (500m) what it would have seen if it were a fine resolution satellite (30m).&nbsp; 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