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This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, of Lago Guayabal, Villalba, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López (2008) and Wilson and Richards (2006). More than 270,000 water-depth points were surveyed...
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This shapefile describes the outputs from the application of a decision support tool (Rohweder and others 2015) used to assist the Northern Missouri Private Lands Program make thoughtful and strategic choices about where to spend its limited management resources. It incorporates landscape and management unit features to help prioritize management on 17 oak savanna and open woodland restoration and enhancement project areas. The private lands program and other stakeholders can use this information to prioritize and target management. This shapefile contains the relevant input criteria attributes used in the development of station objective models.
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This dataset provides line work of fault, fold, and unknown scarps mapped along the margins of Crowleys Ridge in the New Madrid seismic zone, Arkansas and Missouri.
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This dataset is a polygon shapefile containing reservoir boundary of Lago Guayabal, and represents the contour at the spillway elevation. This polygon was used to constraint the extent of the Triangulated irregular network (TIN) model and ultimately, to generate contours from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those...
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This dataset is a polygon shapefile containing the reservoir shoreline for the sedimentation survey of Lago Carite, Puerto Rico.This polygon was used to constraint the extent of the Triangulated irregular network (TIN) model and ultimately, to generate contours from bathymetric data collected during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves,...
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This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, of Lago Carite, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006).A total of 137 planned transect...
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This dataset is a point shapefile containing water-depth points collected during a sedimentation survey of Lago Carite, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006). A total of 137 planned...


    map background search result map search result map Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017 Reservoir boundary for the sedimentation survey of Lago Guayabal, December 2017 Footprints and producers of source data used to create northern portion of the high-resolution (1 m) San Francisco Bay, California, digital elevation model (DEM) Scarps mapped on 1m lidar data along Crowleys Ridge Bathymetric contours of Lago Carite, Puerto Rico, January 2018 Data points, corresponding to the bathymetric survey of Lago Carite, Puerto Rico, January 2018 Reservoir shoreline for the bathymetric survey of Lago Carite, Puerto Rico, January 2018 Footprints and producers of source data used to create central portion of the high-resolution (1 m) San Francisco Bay, California, digital elevation model (DEM) Footprints and producers of source data used to create southern portion of the high-resolution (1 m) San Francisco Bay, California, digital elevation model (DEM) Application of a Decision Support Tool for Prioritizing Restoration of Private Land Units within a Joint Northern Missouri Focal Area - derived spatial data Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017 Bathymetric contours of Lago Carite, Puerto Rico, January 2018 Data points, corresponding to the bathymetric survey of Lago Carite, Puerto Rico, January 2018 Reservoir shoreline for the bathymetric survey of Lago Carite, Puerto Rico, January 2018 Reservoir boundary for the sedimentation survey of Lago Guayabal, December 2017 Footprints and producers of source data used to create central portion of the high-resolution (1 m) San Francisco Bay, California, digital elevation model (DEM) Footprints and producers of source data used to create northern portion of the high-resolution (1 m) San Francisco Bay, California, digital elevation model (DEM) Footprints and producers of source data used to create southern portion of the high-resolution (1 m) San Francisco Bay, California, digital elevation model (DEM) Application of a Decision Support Tool for Prioritizing Restoration of Private Land Units within a Joint Northern Missouri Focal Area - derived spatial data Scarps mapped on 1m lidar data along Crowleys Ridge