49873
2007 Northwest Florida Water Management District (NWFWMD) Lidar: Holmes County
nwfwmd2007_holmes_m576_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2011-04
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, Holmes, Washington, Jackson and Liberty), Florida lidar mapping project. The files were provided in a scheme of FDEM-derived 5,000 x 5,000 foot (1500 x 1500 meter) tiles. When initially processed, horizontal mapping units were 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
FEMA map modernization, digital elevation model, planning, topographic interpretation
10517
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/576/supplemental/2007_NWFWMD_Lidar_Holmes_County.kmz
Theme
ISO 19115 Topic Category
elevation
Theme
bare earth
Theme
binary
Theme
canopy
Temporal
2007
Temporal
2008
Office for Coastal Management
Charleston
SC
Data Set
As Needed
Any conclusions drawn from analysis of this information are not the responsibility of the Northwest Florida Water Management District (NWFWMD),
the NOAA Office for Coastal Management or its partners.
Data Steward
2011-04
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
2011-04
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
2011-04
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
2011-04
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
-86.053
-85.482
31.006
30.694
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 base critical applications on this data set without full
awareness of potential limitations.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=576
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/geoid18/576/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 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.
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. | Quantitative Value: n/a | Quantitative Test Explanation: n/a
Horizontal accuracy is verified in three tests. During bore sighting, adjoining flight lines are view in profile and hard edged features are observed and if necessary the flight lines are adjusted for good relative horizontal and vertical fit. The second test for horizontal accuracy is by comparing raw contours from each flight line against adjoining flight lines 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 vertical accuracy specifications of 1.2 ft.; Quantitative Value: 0.149352 meters, Test that produced the value: This value is measured as RMSEz.; Quantitative Value: 0.15448 meters, Test that produced the value: This value is measured as vertical accuracy.
Cloud Cover: 0
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 flight line data are performed; this process is known as bore sighting. The flight lines 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 bore sighted to align the flight lines. 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
2
The NOAA Office for Coastal Management (OCM) received the lidar files in las format. The files contained lidar intensity
and elevation measurements. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. Data converted from UTM coordinates to geographic coordinates.
2. Data converted from NAVD88 heights to ellipsoid heights using GEOID03.
3. The LAS data were sorted by latitude and the headers were updated.
2011-04-01T00:00:00
gov.noaa.nmfs.inport:49873
Anne Ball
2017-11-15T15:22:53
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16