2018 NOAA NGS Topobathy Lidar DEM (interpolated): Potomac River, Chesapeake Bay

Below are links to the files that make up the 2018 NOAA NGS Topobathy Lidar DEM (interpolated): Potomac River, Chesapeake Bay dataset. This HTML file is here to emulate the access you would have gotten through an ftp site. The files containing geospatial indices, metadata, etc., are listed first, followed by the files. To download in bulk, it is suggested you use a program such as wget (example below). The geospatial index file in shapefile format has a URL attribute that some GIS programs can use to download files. You can also subset the data, make derived products, and change projection, datum, etc., using the Digital Coast Data Access Viewer (add to cart, the link to bulk download will take you here).

Example to download entire data set using wget (note: sufficiently new and trusted pre-compiled Windows versions can be hard to find):
wget -np -r -nH -L --cut-dirs=3 https://chs.coast.noaa.gov/htdata/raster2/elevation/NGS_PotomacRiver_DEM_Interpolated_2018_8732/
This will give you the directory structure starting with NGS_PotomacRiver_DEM_Interpolated_2018. Modify the --cut-dirs=3 argument to modify the start directory (e.g. --cut-dirs=2 will start at elevation). Wget is a command-line program and the output will be to the directory you run it in. More options and information can be found at https://www.gnu.org/software/wget/manual/wget.html. The other options in the example mean:

• -np = don't grab the parent directory
• -r = recursive (descend into directories)
• -nH = don't generate host-prefixed directories
• -L = follow relative links only (so you don't download wget just because it's linked here)

You can also use the uGet program with the list of URLs in file urllist8732.txt. More information on using uGet is in the Bulk Lidar Download GeoZone blog post.

The total size to download all the files is 4.1G.

If you need FTP access instead of HTTPS, use ftp://ftp.coast.noaa.gov/pub/DigitalCoast/raster2/elevation/NGS_PotomacRiver_DEM_Interpolated_2018_8732/

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