50114
2010 U.S. Geological Survey (USGS) Topographic LiDAR: Mobile Bay, AL
usgs2010_MobileBay_AL_lidar_m1426_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2013-01
USGS Contract: G10PC00026
Task Order Number: G10PD00578
LiDAR was collected at a nominal pulse spacing of 2.0 meters for a 700 square mile area to
the east of Mobile Bay, either not previously surveyed using LiDAR sensors or where the collected
data was poor, while no snow was on the ground and rivers were at or below normal levels.
The goal of the NGOM LiDAR project in the post-Katrina environment is to provide scientific
knowledge and tools required to make optimal decisions about land resource use, management
practices, and future development in the northern Gulf of Mexico coastal zone. This regional
LiDAR elevation mapping data will be used for modeling, predicting landscape change, promoting
restoration of ecosystems, and mitigating risks associated with anthropomorphic and natural hazards.
Classified LAS files are used to show the manually reviewed bare earth surface. Any additional
classification is provided via automated macro functionality from proprietary Photo Science TerraScan macros.
These additional classifications include Class 4 - Medium Vegetation and Class 5 - High Vegeation. This
allows the user to create Intensity Images, Break Lines, Raster DEM, and Triangular Irregular Networks.
10758
The third-party QA report for this data set may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1426/supplemental/usgs2010_MobileBay_AL_LidarReport.doc
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1426/supplemental/usgs2010_MobileBay_AL_footprint.kmz
Theme
ISO 19115 Topic Category
elevation
Office for Coastal Management
Charleston
SC
Data Set
As Needed
las
LiDAR points in LAS 1.2 format
none
Any conclusions drawn from the analysis of this information are not the responsibility
of Photo Science, USGS, the Office for Coastal Management or its partners.
Photo Science, Inc. flew the LiDAR and processed the data.
Data Steward
2013-01
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2013-01
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2013-01
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2013-01
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-87.915552
-87.503212
30.856364
30.28702
Range
2010-02-20
2010-02-25
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1426
;
None
Users should be aware that temporal changes may have occurred since this data set was collected
and some parts of this data may no longer represent actual surface conditions. Users should not use
this data for critical applications without a full awareness of its limitations. These data
depict the heights at the time of the survey and are only accurate for that time.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1426
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1426/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1426/supplemental/usgs2010_MobileBay_AL_footprint.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for Baldwin and Escambia Counties in Alabama.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2016-05-23
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
MicroStation Version 8; TerraScan Version 10; Optech DASHMap 4.1801; TerraModeler Version 10;
GeoCue Version 6.1.21.4; ESRI ArcGIS 9.3; QT Modeler v 7.0.3; Windows XP Operating System
The project area requires LiDAR to be collected on average of 2.0 meter point spacing
or better and vertical accuracy of 15 centimeters RMSE or better to support 2' contour
generation when combined with breaklines.
Classified LAS files were tested by Photo Science for both vertical and horizontal
accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
The vertical unit of the data file is in decimal feet with 2-decimal point precision.
; Quantitative Value: 0.0013 meters, Test that produced the value: RMSE in meters
Datasets contain complete coverage of tiles.
Classified LAS files were tested by Photo Science for both vertical and horizontal accuracy.
All data is seamless from one tile to the next, no gaps or no data areas.
LiDAR
2010-01-01
Range
2010-02-20
2010-04-28
LiDAR points were used to produce the deliverables. | Source Geospatial Form: digital data | Type of Source Media: hard drive
1
Applanix software was used in the post processing of the
airborne GPS and inertial data that is critical to the positioning
and orientation of the sensor during all flights. POSPac MMS provides
the smoothed best estimate of trajectory (SBET) that is necessary
for Optech's post processor to develop the point cloud from the
LiDAR missions. The point cloud is the mathematical three dimensional
collection of all returns from all laser pulses as determined from
the aerial mission. At this point this data is ready for analysis,
classification, and filtering to generate a bare earth surface model
in which the above ground features are removed from the data set.
The point cloud was manipulated within the Optech software; GeoCue,
TerraScan, and TerraModeler software was used for the automated
data classification, manual cleanup, and bare earth generation from
this data. Project specific macros were used to classify the ground
and to remove the side overlap between parallel flight lines.
All data was manually reviewed and any remaining artifacts removed
using functionality provided by TerraScan and TerraModeler.
All Class 2 LiDAR data inside of the collected breaklines were then classified to Class 9
using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened
feature.
The breakline files were then translated to ESRI Shapefile format using ESRI conversion tools.
Data was then run through additional macros to ensure deliverable classification
levels matching LAS ASPRS Classification structure. GeoCue functionality was then
used to ensure correct LAS Version. In house software was used as a final
QA/QC check to provide LAS Analysis of the delivered tiles.
2010-01-01T00:00:00
LiDAR
2
The NOAA Office for Coastal Management (OCM) received topographic files in LAS format. The files contained lidar
elevation and intensity measurements. The data were received in UTM Zone 16 (NAD83) coordinates
and were vertically referenced to NAVD88 using the Geoid09 model. The vertical units of the data were
meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. The topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09.
2. The horizontal coordinate system was converted from UTM (meters) to Geographic (decimal degrees).
2012-12-01T00:00:00
gov.noaa.nmfs.inport:50114
Anne Ball
2017-11-15T15:24:21
SysAdmin InPortAdmin
2022-08-09T17:11:38
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16