2017 Lidar: City of Palm Coast, FL Point Cloud files with Vertical Datum North American Vertical Datum of 1988 (NAVD88) using GEOID18
Below are links to the files that make up the 2017 Lidar: City of Palm Coast, FL dataset.
| Vertical datum | North American Vertical Datum of 1988 (NAVD88) using GEOID18 in meters |
| Horizontal projection/datum | NAD83(2011) / UTM zone 17N |
Informational files are listed first (such as geospatial indices, metadata, and so on), followed by the files. To download in
bulk, it is suggested you use a download manager such as wget, uget, or filezilla for example. The geospatial index file in shapefile format
also 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).
The files are in LAZ format, a lossless compressed version of the ASPRS LAS format. The compression and
decompression can be done with the free and open source 'laszip' program available at
https://rapidlasso.de/laszip/
(source at https://github.com/LASzip/LASzip). This is not the same as the more general zip format.
You may also want to try the uGet program using the list of URLs in file urllist_fl2017_palmcoast_m8501.txt.
Several posts on the GeoZone blog provide help with downloading, including:
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=2 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8501/index.html/
This will give you the directory structure starting with geoid18. Modify the --cut-dirs=2 argument to modify
the start directory (e.g. --cut-dirs=4 will start at $missionid). 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)
If you have problems with wget that look like an authorization or certificate issue, you may need to add the option
"--no-check-certificate". Windows users may want to install the Windows Subsystem for Linux to get a current wget.
The total size to download all the files is 33G. There are 161 LAZ files and the summary class table is:
| Class Number | Class Name | Points |
| 1 | Unclassified | 4494239765 |
| 2 | Ground | 1015115013 |
| 7 | Low Point (noise) | 3821344 |
| 9 | Water | 21259487 |
| 10 | Ignored Ground (near breakline) | 85343 |
| 17 | Bridge Deck | 270170 |
| 18 | High Noise | 140086 |
This dataset has 2 points in additional unexpected classes that may be misclassified.
Cloud Access
This data is in an AWS S3 bucket at s3://noaa-nos-coastal-lidar-pds/laz/geoid18/8501.
Meta Information
Tile Index: tileindex_fl2017_palmcoast_m8501.zip (Shapefile)
Tile Index: tileindex_fl2017_palmcoast_m8501.gpkg (Geopackage)
Metadata: metadata_fl2017_palmcoast.xml
Metadata: metadata_fl2017_palmcoastforHumans.html
XYZ range table: minmax_fl2017_palmcoast_m8501.csv
URL List: urllist_fl2017_palmcoast_m8501.txt
Supplemental Info
Files
fl2017_palmcoast_m8501.kmz
fl2017_palmcoast_m8501_lidar_report.pdf
Spatial Temporal Asset Catalog (STAC)
collection.json (See collection in STAC Browser)
noaa_copc_item_collection_m8501.json
Other Related Information
Breaklines
Entwine Format
See entwine.io for more information on the Entwine Point Tile format.
EPT JSON file
View Point Data in Potree 3D Viewer
Point Cloud Files
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