Reflective Surface Light Detection and Ranging (LIDAR) Data for Washington, DC at 1 meter resolution. Reflective surface data represents the DEM created by laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface to be reflected by a subsequent surface as represented by the Last Return data.

Reflective Surface Light Detection and Ranging (LIDAR) Data for Washington, Dc at 1 meter resolution. Reflective surface data represents the DEM created by laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface to be reflected by a subsequent surface as represented by the Last Return data.

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First Return Light Detection and Ranging (LIDAR) Data - 1m resolution. The dataset contains locations and attributes of first return elevations in meters. LIDAR data provided by the Joint Precision Strike Demonstration Project Office of the US Army contained bare earth rasters. This raster contains elevations of all structures, tree canopies, and bare earth.

Bare Earth Light Detection and Ranging (LIDAR) Data - 1m resolution. The dataset contains locations and attributes of bare earth elevations in meters. Bare earth model is created by identifying those returns that fall on the ground surface and interpolating a surface between these points. In this manner buildings and vegetation are removed from Bare Earth Model. This data set does not include bridges and overpasses in the Bare Earth model as the delineation point for these structures is not reliably discernable in the LiDAR data.

Bare Earth Light Detection and Ranging (LIDAR) Data - 1m resolution. The dataset contains locations and attributes of bare earth elevations in meters. Bare earth model is created by identifying those returns that fall on the ground surface and interpolating a surface between these points. In this manner buildings and vegetation are removed from Bare Earth Model. This data set does not include bridges and overpasses in the Bare Earth model as the delineation point for these structures is not reliably discernible in the LiDAR data.

Bare Earth Light Detection and Ranging (LIDAR) Data - 1m resolution. The dataset contains locations and attributes of bare earth elevations in meters. Bare earth model is created by identifying those returns that fall on the ground surface and interpolating a surface between these points. In this manner buildings and vegetation are removed from Bare Earth Model. This data set does not include bridges and overpasses in the Bare Earth model as the delineation point for these structures is not reliably discernable in the LiDAR data.

Bare Earth Light Detection and Ranging (LIDAR) Data - 2 foot resolution. The dataset contains locations and attributes of bare earth elevations in meters. Bare earth model is created by identifying those returns that fall on the ground surface and interpolating a surface between these points. In this manner buildings and vegetation are removed from Bare Earth Model. This data set does not include bridges and overpasses in the Bare Earth model as the delineation point for these structures is not reliably discernible in the LiDAR data. This metadata record describes the data products derived from the LiDAR data for the DC OCTO 2015 LiDAR project covering approximately 80 square miles, in which its extents cover Arlington County in Washington DC. This project consists of deliverables in accordance with USGS v1.2 specifications and meets or exceeds the level of quality for QL1 (8 points per meter).

Bare Earth Light Detection and Ranging (LIDAR) Data - 1m resolution. The dataset contains locations and attributes of bare earth elevations in meters. Bare earth model is created by identifying those returns that fall on the ground surface and interpolating a surface between these points. In this manner buildings and vegetation are removed from Bare Earth Model. This data set does not include bridges and overpasses in the Bare Earth model as the delineation point for these structures is not reliably discernable in the LiDAR data.

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