2018 Maryland Lidar: Ellicott City, MD 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 Maryland Lidar: Ellicott City, MD dataset.
| Vertical datum | North American Vertical Datum of 1988 (NAVD88) using GEOID18 in meters |
| Horizontal projection/datum | NAD83(2011) / UTM zone 18N |
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_2018_ellicott_m9238.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/geoid18/9238/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 11G. There are 70 LAZ files and the summary class table is:
| Class Number | Class Name | Points |
| 1 | Unclassified | 1120495905 |
| 2 | Ground | 874986092 |
| 7 | Low Point (noise) | 217716 |
| 9 | Water | 3504147 |
| 17 | Bridge Deck | 938782 |
| 18 | High Noise | 58109 |
This dataset has 83503 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/geoid18/9238.
Meta Information
Tile Index: tileindex_2018_ellicott_m9238.zip (Shapefile)
Tile Index: tileindex_2018_ellicott_m9238.gpkg (Geopackage)
Metadata: metadata_2018_ellicott.xml
Metadata: metadata_2018_ellicottforHumans.html
XYZ range table: minmax_2018_ellicott_m9238.csv
URL List: urllist_2018_ellicott_m9238.txt
Supplemental Info
Files
Ellicott_City_MD_QL1_Lidar_Control_report.pdf
2018_Ellicott_extent_m9238.kmz
EllicottCity_Lidar_Accuracy_Report.docx
VA_UpperMiddleNeck_2018_D18_Collection_Report.pdf
Spatial Temporal Asset Catalog (STAC)
collection.json (See collection in STAC Browser)
noaa_copc_item_collection_m9238.json
Point Cloud Files
20181203_D27.copc.laz
20181203_D28.copc.laz
20181203_D29.copc.laz
20181203_D30.copc.laz
20181203_D31.copc.laz
20181203_D32.copc.laz
20181203_D33.copc.laz
20181203_E26.copc.laz
20181203_E27.copc.laz
20181203_E28.copc.laz
20181203_E29.copc.laz
20181203_E30.copc.laz
20181203_E31.copc.laz
20181203_E32.copc.laz
20181203_F25.copc.laz
20181203_F26.copc.laz
20181203_F27.copc.laz
20181203_F28.copc.laz
20181203_F29.copc.laz
20181203_F30.copc.laz
20181203_F31.copc.laz
20181203_G24.copc.laz
20181203_G25.copc.laz
20181203_G26.copc.laz
20181203_G27.copc.laz
20181203_G28.copc.laz
20181203_G29.copc.laz
20181203_G30.copc.laz
20181203_H23.copc.laz
20181203_H24.copc.laz
20181203_H25.copc.laz
20181203_H26.copc.laz
20181203_H27.copc.laz
20181203_H28.copc.laz
20181203_H29.copc.laz
20181203_I19.copc.laz
20181203_I20.copc.laz
20181203_I21.copc.laz
20181203_I22.copc.laz
20181203_I23.copc.laz
20181203_I24.copc.laz
20181203_I25.copc.laz
20181203_J17.copc.laz
20181203_J18.copc.laz
20181203_J19.copc.laz
20181203_J20.copc.laz
20181203_J21.copc.laz
20181203_J22.copc.laz
20181203_J23.copc.laz
20181207_D24.copc.laz
20181207_D25.copc.laz
20181207_D26.copc.laz
20181207_E23.copc.laz
20181207_E24.copc.laz
20181207_E25.copc.laz
20181207_F22.copc.laz
20181207_F23.copc.laz
20181207_F24.copc.laz
20181207_G21.copc.laz
20181207_G22.copc.laz
20181207_G23.copc.laz
20181207_H20.copc.laz
20181207_H21.copc.laz
20181207_H22.copc.laz
20181207_I16.copc.laz
20181207_I17.copc.laz
20181207_I18.copc.laz
20181207_J14.copc.laz
20181207_J15.copc.laz
20181207_J16.copc.laz
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