<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:creator>U.S. Fish &amp; Wildlife Service</dc:creator><dc:description>This dataset is a dataset of modeled waterfall points using LiDAR in partnership with Trout Unlimited. These points were hand verified by students to determine if waterfalls could be seen at these sites using aerial imagery. These are points on stream order of 3 or greater, with a drop of 15 feet or greater. This effort is a first step to detecting undocumented falls and dams using LiDAR in the United States, so that they can be added to the National Aquatic Barrier inventory at aquaticbarriers.org, an effort led by the Southeast Aquatic Resources Partnership and NFHP. This inventory is a part of a larger effort called the National Aquatic Connectivity Collaborative that seeks to identify all man-made aquatic barriers across the country.</dc:description><dc:format>ArcGIS FeatureLayer</dc:format><dc:identifier>https://hub.arcgis.com/datasets/02e0bdb6d38e4cddb8cc625e2777425b_0</dc:identifier><dc:language>eng</dc:language><dc:publisher>U.S. Fish and Wildlife Service Open Data</dc:publisher><dc:rights>Public</dc:rights><dc:title>LiDAR Nantahala MaxDrop15plus 3rdOrderPlus [United States]</dc:title><dc:type>Web services</dc:type><dc:coverage>United States</dc:coverage><dc:date>Last Modified: 2025-03-18</dc:date></oai_dc:dc>