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This USGS Data Release represents tabular data for chemical and physical attributes, rates of deposition, erosion, and mineralization of bank and floodplain sediments and soils from five study sites in the Smith Creek watershed between 2012 and 2015. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Smith Creek floodplain soils dataset (tabular data) 2. Smith Creek bank soils dataset (tabular data) These data support the following publication: Gillespie, J.L., Noe, G.B., Hupp, C.R., Gellis, A.C., and Schenk, E.R.,...
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These data were compiled to enable estimation of aeolian dune field sediment budgets calculated using remote sensing methods. The objective of the study was to evaluate sediment budgets calculated for the Lees Ferry dune field in Grand Canyon, Earth as a terrestrial analog for aeolian dune fields in Valles Marineris, Mars. These data represent digital elevation models (DEM) of the topography of the Lees Ferry dune field in February and May, 2019, respectively. These data were collected with an Uncrewed Aerial Vehicle (UAV) remote sensing survey conducted on February 28th and then repeated on May 2nd, 2019. The images acquired with the UAV surveys were processed with photogrammetric modelling to produce the DEMs....


    map background search result map search result map Floodplain sedimentation, bank erosion, and biogeochemical cycling of sediment and nutrients in Smith Creek (Virginia) 2012-2015: U.S. Geological Survey data release Sediment budget data for Lees Ferry dune field, February-May 2019 Sediment budget data for Lees Ferry dune field, February-May 2019 Floodplain sedimentation, bank erosion, and biogeochemical cycling of sediment and nutrients in Smith Creek (Virginia) 2012-2015: U.S. Geological Survey data release