2019 USGS Lidar: Osh Kosh 3 Rivers (MN, WI) 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 2019 USGS Lidar: Osh Kosh 3 Rivers (MN, WI) dataset.

Vertical datumNorth American Vertical Datum of 1988 (NAVD88) using GEOID18 in meters
Horizontal projection/datumNAD83(2011) / UTM zone 15N

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_wi2019_oshkosh_m9199.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/geoid18/9199/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:


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 552G. There are 14260 LAZ files and the summary class table is:

Class NumberClass NamePoints
1Unclassified49663437533
2Ground43138581959
7Low Point (noise)37985052
9Water507128140
10Rail114
13Wire - Guard130
17Bridge Deck1889417
18High Noise839965223
20Ignored Ground (near breakline)11219885

Cloud Access

This data is in an AWS S3 bucket at s3://noaa-nos-coastal-lidar-pds/laz/geoid18/9199.

Meta Information

Tile Index: tileindex_wi2019_oshkosh_m9199.zip (Shapefile)
Tile Index: tileindex_wi2019_oshkosh_m9199.gpkg (Geopackage)
Metadata: metadata_wi2019_oshkosh.xml
Metadata: metadata_wi2019_oshkoshforHumans.html
XYZ range table: minmax_wi2019_oshkosh_m9199.csv
URL List: urllist_wi2019_oshkosh_m9199.txt

Supplemental Info

Files

Oshkosh_3_Rivers_2018_LiDAR_Project_Report.pdf
Barron_Dunn_FocusOnAccuracy.pdf
Oconto_FocusOnAccuracy.pdf
OshkoshLot6_FOCUSonAccurracy.pdf
Sheboygan_FocusOnAccuracy.pdf
Pine_FocusOnAccuracy.pdf
wi2019_oshkosh_m9199.kmz

Spatial Temporal Asset Catalog (STAC)

collection.json (See collection in STAC Browser)
noaa_copc_item_collection_m9199.json

Other Related Information

Breaklines

Links to Related Datasets

Title Bulk Download Data Access Viewer ID #
2019 USGS Lidar DEM: Osh Kosh 3 Rivers (MN, WI)bulk linkDAV10415

Point Cloud Directories

B1
B2
Fonddulac_tl
Forest_county_potawatomi_tl
Menominee_tl
Millelacs_tl
Stcroix_tl

This page is owned by the NOAA Office for Coastal Management and was created by an automated script on 2026-04-21 22:33:57.353183.
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