49870
2007 Northwest Florida Water Manangement District (NWFWMD) Lidar: 5 Counties (Jackson, Calhoun, Washington, Liberty, Holmes)
nwfwmd2007_5counties_m579_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2008-01
LIDAR-derived binary (.las) files containing points classified as bare-earth and canopy (first return) were produced for the 2007/2008 Northwest
Florida Water Management District - 5 Counties (Calhoun, Washington, Jackson, Liberty, Holmes), Florida lidar mapping project. ESRI GRIDs of
bare earth points are also provided. The files were provided in a scheme of FDEM-derived 5,000 x 5,000 foot (1500 x 1500 meter) tiles. Horizontal
mapping units are in UTM meters, vertical mapping units are in U.S. survey feet. The total mapping area covers approximately 2102 square miles.
Original contact information:
Contact Name: Mr John Crowe
Contact Org: Northwest Florida Water Management District
Title: Associate Hydrologist, Division of Resource Management
Phone: 850-539-5999
Email: ron.bartel@nwfwmd.state.fl.us
The purpose of the project is to produce accurate, high-resolution data for planning, analysis, and for use with other datasets. Merrick obtained
LiDAR data over approximately 2,102 square miles covering all or portions of 5-Counties in Florida. The LiDAR data has been processed to result in
a data set that is suitable for the future generation of 2-foot contours.
These data will be used to support FEMA's Map Modernization Program through the creation of high-resolution digital elevation models (DEMs). These
DEMs support a variety of applications, including improved floodplain delineation, hydrologic and hydraulic modeling, hazard mapping as well as
other planning activities.
10514
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/579/supplemental/2007_NWFWMD_5_Counties_Lidar.kmz
The Lidar Mapping Report (including sensor information, collection parameters, etc.) for this data set may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/579/supplemental/NWFWMD_5_Counties_Lidar_Mapping_Report.pdf
Theme
ISO 19115 Topic Category
elevation
Theme
bare earth
Theme
binary
Theme
canopy
Office for Coastal Management
Charleston
SC
Data Set
As Needed
LAS data
Lidar points are attributed with the following classifications:
1 - Unclassified
2 - Ground (bare earth)
Lidar intensity values range from 0-255. Lidar return values range from 1-3. Flight line numbers range from 1-19.
All deliverables meet specifications in contract. LAS Files meet ASPRS Classification Standards.
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management
or its partners.
Merrick & Company
Data Steward
2008-01
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
2008-01
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
2008-01
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
2008-01
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
-85.894507
-84.828007
31.006292
30.193492
Range
2007-11-12
2008-01-20
Yes
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer
The data set is dynamically generated based on user-specified parameters.
;
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=579
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/geoid18/579/index.html
Bulk Download
Simple download of data files.
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 Standard 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.
Microsoft Windows XP version 5.1 (Build 2600, Service Pack 2); ArcGIS Desktop 9.1; ArcGIS Workstation 9.1; MARS 4.0
Verification of attribute accuracy of LIDAR data involves the use of filtering techniques. Auto-filtering uses algorithms to reclassify data in the
point cloud. Hand-filtering involves the use of a technician working in a graphic environment to reclassify the erroneous points that may remain in
the LIDAR point cloud after auto filter.
Horizontal accuracy is verified in three tests. During boresighting, adjoining flightlines are view in profile and hard edged features are
observed and if necessary the flightlines are adjusted for good relative horizontal and vertical fit. The second test for horizontal accuracy is
by comparing raw contours from each flightline against adjoining flightlines at specific points. The final test is the vertical LIDAR control
report.
Survey control points were used to validate the accuracy of the LIDAR surface model after automatic and hand filtering. This surface exceeds the
NSSDA consolidated vertical accuracy specifications of 36.3 cm (1.19 ft) at the 95% confidence level.
; Quantitative Value: 0.15 meters, Test that produced the value:
RMSEz (m) based upon comparison of 176 survey checkpoint z-values with those of a bare-earth generated surface model at same geographic location.
This dataset contains classified returns of the LIDAR sensor. The sensor data was verified in MARS software to ensure complete coverage.
Calibrations of the LIDAR flightline data are performed; this process is known as boresighting. The flightlines are compared to evaluate both their
relative and absolute accuracies.
Ground Control
2007-03-17
Discrete
2007-11-12
GPS control network for LIDAR acquisition and processing. | Source Geospatial Form: spreadsheet | Type of Source Media: spreadsheet
LIDAR
2007-03-17
Range
2007-11-12
2008-01-20
LIDAR points form the basis of the DTM surface. | Source Geospatial Form: point digital data | Type of Source Media: digital data
1
LIDAR data was collected using Merrick's ALS50 Phase 2 sensor. The raw data was verified in MARS software for complete coverage of the project
area, and boresighted to align the flightlines. Raw data files were parsed into manageable client-specific tiles. These tiles were then
processed through automated filtering that separates the data into different classification groups: error points, ground points,
and canopy/building points. The data was next taken into a graphic environment to reclassify the erroneous points that may remain in the LIDAR
point cloud after auto filter.
2007-06-11T00:00:00
LIDAR
2
The NOAA Office for Coastal Management (OCM) received files in LAS format. The files contained LiDAR intensity and elevation measurements.
OCM performed the following processing on the data for data storage purposes and Digital Coast provisioning:
1. The data were converted from projected UTM (NAD83, Zone 16) coordinates to geographic (NAD83) coordinates
2. The data were converted from NAVD88 heights to ellipsoid heights using Geoid03
3. The LAS header fields were sorted by latitude and updated
2011-04-29T00:00:00
LIDAR
gov.noaa.nmfs.inport:49870
Anne Ball
2017-11-15T15:22:52
SysAdmin InPortAdmin
2022-08-09T17:11:38
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16