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Short Citation:
OCM Partners, 2024: 2018 USGS/NRCS Lidar DEM, Southwest FL, https://www.fisheries.noaa.gov/inport/item/59010.

Item Identification

Title: 2018 USGS/NRCS Lidar DEM, Southwest FL
Short Name: FL_SW_Digital_Elevation_Model m9041.xml
Status: Completed
Publication Date: 2019
Abstract:

The Digital Elevation Model (DEM) dataset consists of tiled lidar DEM Images. Each file contains a raster image of the DEM. The Geographical Extent of this dataset extends to the entirety of the Southwest FL Lidar boundary delivery, approximately 2,347 square miles of the AOIs.

Purpose:

The USGS/NRCS contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (lidar) data and derivative products. The task order is for a QL1 Lidar survey to be collected over Lee and Collier county in FL. The deliverable products would be used by the USGS/NRCS for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes.

Supplemental Information:

All Lidar data and associated products were acquired, calibrated, and used in the creation of lidar derived products by Digital Aerial Solutions, LLC.

Raster File Type = GeoTiff

Bit Depth/Pixel Type = 32-bit float

Raster Cell Size = 0.5 Meter

Interpolation or Resampling Technique = Bilnear Interpolation

Required Vertical Accuracy = 19.6 cm NVA

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None DEM
None Hydrology
None Intensity Image

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Global Change Master Directory (GCMD) Platform Keywords
DEM > Digital Elevation Model

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: As Needed
Data Presentation Form: GeoTiff
Entity Attribute Detail Citation:

None

Distribution Liability:

*** None

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data Set Credit: *** U.S. Geological Survey

Support Roles

Data Steward

CC ID: 899716
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 899715
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 899717
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 899718
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1293658
W° Bound: -82.28745
E° Bound: -81.250146
N° Bound: 26.79471
S° Bound: 25.821722

Extent Group 1 / Time Frame 1

CC ID: 1293657
Time Frame Type: Range
Start: 2018-05-08
End: 2019-03-01

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:

None

Data Use Constraints:

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.

Distribution Information

Distribution 1

CC ID: 899722
Start Date: 2020-03-10
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9041
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 899723
Start Date: 2020-03-10
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USGS_FL_Southeast_2018_9041/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 899712
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 899713
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

Technical Environment

Description:

Inertial Explorer ver: 8.6; Leica CloudPro Ver:1.2.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2019; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16

Data Quality

Horizontal Positional Accuracy:

Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these paraMeters. Qualitative value: 0.783, Test that produced the valued: This data set was produced to meet ASPRS “Positional Accuracy Standards for Digital Geospatial Data” (2014) for a 0.226 Meters RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy =+/- 0.783 Meters at a 95% confidence level Estimated LiDAR Horizontal Error Per Point.

Vertical Positional Accuracy:

Vertical Accuracy of the bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; One-hundred Thirty-nine (139) surveyed points were measured for the purpose of assessing the accuracy of the FL Southwest LiDAR data (79 NVA + 60 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for there individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM Metadata reports while this project wide Metadata file is reporting the vertical accuracy results from the the source Lidar. Required Non Vegetated Vertical Accuracy (NVA): 0.196 Meters. Required Vegetated Vertical Accuracy (VVA): 0.294 Meters.Qualitative value:0.179 0.229, Test that produced the value: The NVA of the Digital Elevation Model was calculated against TINs derived from the final calibrated and controlled swath data using 79 NVA checkpoints located in Bare Earth land cover class. The root mean square error vertical (RMSEz) was computed to be 0.091 Meters The the Accuracy Z was tested to be 0.179 Meters NVA at 95-percent confidence level using RSME(z) x 1.9600 as defined by the National Standards for spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines. The VVA of the Digital Elevation Model was calculated against TINs derived from the final calibrated and controlled swath data using 60 VVA checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories. The the Accuracy Z was tested to be 0.229 Meters VVA at 95th percentile using RSME(z) x 1.9600 as defined by the National Standards for spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines.

Completeness Report:

The RAW LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The RAW point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header.

Conceptual Consistency:

Aerial lidar data covers the entire 2,347 square mile Area of Interest intended for this project task. All lidar point cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project.

Lineage

Sources

DEM files from USGS in Imagine format

CC ID: 1293653
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/OPR
Citation URL Name: USGS Rocky ftp site
Citation URL Description:

Contains original project resolution DEM data for the 3D elevation program. Data are from the FL_Southeast_*_2018 directories.

Source Contribution:

Provides the original data that was converted to GeoTiff format.

Process Steps

Process Step 1

CC ID: 1293654
Description:

Bare-Earth DEM Creation: Bare-Earth Digital Elevation Models (DEMs) were derived using the hydro break line and bare-earth (ground) lidar points, all DEMs were created with a grid spacing of 0.5 Meters. The DEMs were cut to tiles of 1,000 Meters X 1,000 Meters index, provided by the US Geological Survey.

Process Date/Time: 2019-03-01 00:00:00

Process Step 2

CC ID: 1293655
Description:

Data were downloaded from the USGS in Imagine format and Albers projection. GDAL was used to convert the DEM tiles into cloud optimized geotiff format for ingest into the Digital Coast Data Access System.

Process Date/Time: 2020-03-10 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: DEM files from USGS in Imagine format

Catalog Details

Catalog Item ID: 59010
GUID: gov.noaa.nmfs.inport:59010
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2020-03-10 08:09+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:11+0000
Metadata Record Published: 2024-01-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-03-10
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-03-10