2018 USGS Lidar: Washington FEMA QL1 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 2018 USGS Lidar: Washington FEMA QL1 dataset.
| Vertical datum | North American Vertical Datum of 1988 (NAVD88) using GEOID18 in meters |
| Horizontal projection/datum | NAD83(2011) / UTM zone 11N |
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_wa2018_fema_ql1_m9230.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/geoid18/9230/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 3.8G. There are 41 LAZ files and the summary class table is:
| Class Number | Class Name | Points |
| 1 | Unclassified | 552019788 |
| 2 | Ground | 68968660 |
| 7 | Low Point (noise) | 21229495 |
| 9 | Water | 9539251 |
| 17 | Bridge Deck | 4106 |
| 20 | Ignored Ground (near breakline) | 64510 |
Cloud Access
This data is in an AWS S3 bucket at s3://noaa-nos-coastal-lidar-pds/laz/geoid18/9230.
Meta Information
Tile Index: tileindex_wa2018_fema_ql1_m9230.zip (Shapefile)
Tile Index: tileindex_wa2018_fema_ql1_m9230.gpkg (Geopackage)
Metadata: metadata_wa2018_fema_ql1.xml
Metadata: metadata_wa2018_fema_ql1forHumans.html
XYZ range table: minmax_wa2018_fema_ql1_m9230.csv
URL List: urllist_wa2018_fema_ql1_m9230.txt
Supplemental Info
Files
WA_FEMA_HQ_2018_Cumulative_LiDAR_Technical_Data_Report_FINAL.pdf
wa2018_fema_ql1_m9230.kmz
Spatial Temporal Asset Catalog (STAC)
collection.json (See collection in STAC Browser)
noaa_copc_item_collection_m9230.json
Other Related Information
Breaklines
Links to Related Datasets
| Title |
Bulk Download |
Data Access Viewer |
ID # |
| 2018 - 2019 USGS Lidar: Washington FEMA QL2 | bulk link | DAV | 9211 |
Point Cloud Files
20180812_WA_FEMAHQ_D18_11UMP7261.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7262.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7263.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7264.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7361.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7362.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7363.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7364.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7365.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7366.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7461.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7462.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7463.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7464.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7465.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7466.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7561.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7562.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7563.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7564.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7565.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7566.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7661.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7662.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7663.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7664.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7665.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7666.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7761.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7762.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7763.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7764.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7765.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7766.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7861.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7862.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7863.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7864.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7865.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7866.copc.laz
20180812_WA_FEMAHQ_D18_11UMP7962.copc.laz
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