River Sediment Database-Amazon (RivSed-Amazon)

<p>The River Sediment Database-Amazon (RivSed-Amazon) database contains surface suspended sediment&nbsp;concentrations (SSC) derived from&nbsp;Landsat 5, 7, and 8 Level 1 Collection 1&nbsp;surface reflectance from all rivers in the Amazon River Basin that are ~60 meters wide or greater. SSC represent spatially integrated &quot;reach&quot; median&nbsp;concentrations over the footprint of SWOT River Database (SWORD, Altenau et al., 2021)&nbsp;centerlines (median reach length = 10 km)&nbsp;where high quality river water pixels were detected within each Landsat image&nbsp;from 1984-2018.&nbsp;</p> <p>The methods used to produce this database were initially developed in the following publications:</p> <ul> <li>Gardner, J., Pavelsky, T. M., Topp, S., Yang, X., Ross, M. R., &amp; Cohen, S. (2023). Human activities change suspended sediment concentration along rivers.&nbsp;<em>Environmental Research Letters.&nbsp;</em><a href="https://iopscience.iop.org/article/10.1088/1748-9326/acd8d8">https://iopscience.iop.org/article/10.1088/1748-9326/acd8d8</a>&nbsp;<strong>and&nbsp;</strong></li> <li>Gardner et al. (2020). The color of rivers. Geophysical Research Letters.&nbsp; <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GL088946">https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GL088946</a></li> </ul> <p>The publication associated with RivSed-Amazon is in review.</p> <p><strong>Files:</strong></p> <p>1) Metadata (rivSed_Amazon_metadata_v1.01.pdf): Description key data&nbsp;files associated with this repository.&nbsp;</p> <p>2) RiverSed&nbsp;(RiverSed_Amazon_v1.1.txt). Table of&nbsp; SSC&nbsp; and associated data that&nbsp;is joinable to SWORD based on the &quot;&quot;reach_id&quot;.</p> <p>3) Shapefile of river centerlines over South America&nbsp;to which the reflectance data can be attached (SWORD_SA.shp).</p> <p>4) Shapefile of the reach polygons associated with SWORD_SA over the Amazon Basin. (reach_polygons_amazon.shp).</p> <p>5) SSC-Landsat matchup database with extended metadata on locations and in-situ data&nbsp;(train_full_v1.1.csv).</p> <p>6) The final training data used to build the xgboost machine learning model (train_v1.1.csv).</p> <p>7) The xgboost model that can make SSC predictions over inland waters in USA using&nbsp;Landsat bands/band combinations (tssAmazon_model_v1.1.rds and .rda). The model can only be loaded and used in R at this time.</p> <p>8) The correction coefficients applied to Landsat 5 and 8 to harmonized surface reflectance&nbsp;across Landsat 5,7,8 and over all bands to enable time series analysis.</p> <p>&nbsp;</p> <p>&nbsp;</p>