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Item Identification
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Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
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Data Management
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Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2018 - 2020 USGS Lidar: Florida Peninsular FDEM, https://www.fisheries.noaa.gov/inport/item/69496.
Full Citation Examples

Abstract

Product: This project was designed to acquire and produce QL1 lidar data to support the Florida Division of Emergency Management (FDEM) "Florida Statewide Lidar" initiative. These lidar data are processed Classified LAS 1.4 files, formatted to individual 5000 ft x 5000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: The project area covers 35 counties in peninsular Florida. A total of 39,217 tiles were produced for the project, providing approximately 34,950 sq. miles of coverage.

Dataset Description: The Florida Peninsular project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD83(2011) / Florida North/East/West (ftUS), Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 5000 ft x 5000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 5000 ft x 5000 ft schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in 2018, 2019 and 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. Additional independent accuracy checkpoints were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services for all counties except for Collier. The DAV is using an on prem version of Collier County.

Distribution Information

  • Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, Florida State Plane North/East/West NAD83(2011) coordinates and orthometric heights in feet.

Access Constraints:

None

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.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-84.07° W, -79.95° E, 30.9° N, 25.83° S

Time Frame 1
2018-12-05 - 2019-12-03

Dates of collection for Alachua County

Time Frame 2
2018-11-28 - 2018-12-18

Dates of collection for Nassau County

Time Frame 3
2018-12-26 - 2019-01-21

Dates of collection for Collier County

Time Frame 4
2020-01-15

Date of collection for Key Biscayne (Miami-Dade County)

Time Frame 5
2018-12-07 - 2019-03-04

Dates of collection for Brevard County

Time Frame 6
2018-11-28 - 2018-12-28

Dates of collection for Duval County

Time Frame 7
2018-11-28 - 2019-03-18

Dates of collection for Clay County

Time Frame 8
2019-11-25 - 2020-01-25

Dates of collection for Columbia County

Time Frame 9
2018-11-30 - 2019-01-10

Dates of collection for DeSoto County

Time Frame 10
2019-03-24 - 2020-01-25

Dates of collection for Dixie County

Time Frame 11
2018-12-12 - 2019-04-28

Dates of collection for Glades County

Time Frame 12
2018-11-30 - 2020-01-20

Dates of collection for Hardee County

Time Frame 13
2018-12-11 - 2019-01-16

Dates of collection for Hendry County

Time Frame 14
2018-12-06 - 2020-01-06

Dates of collection for Highlands County

Time Frame 15
2018-12-24 - 2020-01-06

Dates of collection for Okeechobee County

Time Frame 16
2018-11-30 - 2019-03-24

Dates of collection for St. Johns County

Time Frame 17
2018-12-24 - 2019-04-12

Dates of collection for Orange County

Time Frame 18
2018-12-24 - 2019-04-25

Dates of collection for Martin County

Time Frame 19
2018-11-30 - 2019-01-10

Dates of collection for Sarasota County

Time Frame 20
2018-11-30 - 2020-01-20

Dates of collection for Manatee County

Time Frame 21
2018-11-26 - 2020-01-21

Dates of collection for Madison County

Time Frame 22
2019-12-21 - 2020-01-17

Dates of collection for Suwannee County

Time Frame 23
2018-11-25 - 2020-01-22

Dates of collection for Union County

Time Frame 24
2018-11-28 - 2020-01-22

Dates of collection for Baker County

Time Frame 25
2018-11-28 - 2020-01-21

Dates of collection for Bradford County

Time Frame 26
2018-12-06 - 2019-01-10

Dates of collection for Charlotte County

Time Frame 27
2018-12-05 - 2020-01-08

Dates of collection Gilchrist County

Time Frame 28
2019-01-25 - 2019-03-01

Dates of collection for Indian River County

Time Frame 29
2018-12-24 - 2019-04-24

Dates of collection for St. Lucie County

Time Frame 30
2019-12-19 - 2020-01-18

Dates of collection for Hamilton County

Time Frame 31
2019-01-05 - 2019-04-15

Dates of collection for Palm Beach County

Time Frame 32
2019-01-25 - 2020-01-25

Dates of collection for Taylor County

Time Frame 33
2019-11-30 - 2020-01-25

Date of collection for Lafayette County

Time Frame 34
2018-11-30 - 2020-01-20

Dates of collection for Polk County

Time Frame 35
2018-12-07 - 2019-04-12

Dates of collection for Osceola County

Item Identification

Title: 2018 - 2020 USGS Lidar: Florida Peninsular FDEM
Status: Completed
Creation Date: 2018
Publication Date: 2020
Abstract:

Product: This project was designed to acquire and produce QL1 lidar data to support the Florida Division of Emergency Management (FDEM) "Florida Statewide Lidar" initiative. These lidar data are processed Classified LAS 1.4 files, formatted to individual 5000 ft x 5000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: The project area covers 35 counties in peninsular Florida. A total of 39,217 tiles were produced for the project, providing approximately 34,950 sq. miles of coverage.

Dataset Description: The Florida Peninsular project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD83(2011) / Florida North/East/West (ftUS), Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 5000 ft x 5000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 5000 ft x 5000 ft schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in 2018, 2019 and 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. Additional independent accuracy checkpoints were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services for all counties except for Collier. The DAV is using an on prem version of Collier County.

Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2.5 feet cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

Contract No. G16PC00016, Task Order No. 140G0218F0443; CONTRACTOR: Quantum Spatial, Inc.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Leica ALS 80",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.316",

"ldrdens" : "10.0",

"ldranps" : "0.309",

"ldradens" : "10.47",

"ldrfltht" : "1400",

"ldrfltsp" : "150",

"ldrscana" : "20",

"ldrscanr" : "52",

"ldrpulsr" : "585",

"ldrpulsd" : "2.5",

"ldrpulsw" : "0.31",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1019.0",

"ldrswato" : "60",

"ldrgeoid" : "GEOID12B",

"ldrcrs" : "NAD83(2011) / Florida East (ftUS), Foot US"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0",

"clsnva" : "0",

"clsnvan" : "0",

"clsvva" : "0",

"clsvvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were not classified in these files.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Buildings"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

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

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

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: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

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: Florida Dept. of Emergency Management (FDEM), USGS

Support Roles

Data Steward

CC ID: 1225015
Date Effective From: 2021
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: 1225014
Date Effective From: 2021
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: 1225037
Date Effective From: 2020
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1225016
Date Effective From: 2021
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: 1225017
Date Effective From: 2021
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: 1225036
W° Bound: -84.07
E° Bound: -79.95
N° Bound: 30.9
S° Bound: 25.83

Extent Group 1 / Time Frame 1

CC ID: 1225038
Time Frame Type: Range
Start: 2018-12-05
End: 2019-12-03
Description:

Dates of collection for Alachua County

Extent Group 1 / Time Frame 2

CC ID: 1225033
Time Frame Type: Range
Start: 2018-11-28
End: 2018-12-18
Description:

Dates of collection for Nassau County

Extent Group 1 / Time Frame 3

CC ID: 1225034
Time Frame Type: Range
Start: 2018-12-26
End: 2019-01-21
Description:

Dates of collection for Collier County

Extent Group 1 / Time Frame 4

CC ID: 1225035
Time Frame Type: Discrete
Start: 2020-01-15
Description:

Date of collection for Key Biscayne (Miami-Dade County)

Extent Group 1 / Time Frame 5

CC ID: 1225041
Time Frame Type: Range
Start: 2018-12-07
End: 2019-03-04
Description:

Dates of collection for Brevard County

Extent Group 1 / Time Frame 6

CC ID: 1225069
Time Frame Type: Range
Start: 2018-11-28
End: 2018-12-28
Description:

Dates of collection for Duval County

Extent Group 1 / Time Frame 7

CC ID: 1225043
Time Frame Type: Range
Start: 2018-11-28
End: 2019-03-18
Description:

Dates of collection for Clay County

Extent Group 1 / Time Frame 8

CC ID: 1225044
Time Frame Type: Range
Start: 2019-11-25
End: 2020-01-25
Description:

Dates of collection for Columbia County

Extent Group 1 / Time Frame 9

CC ID: 1225045
Time Frame Type: Range
Start: 2018-11-30
End: 2019-01-10
Description:

Dates of collection for DeSoto County

Extent Group 1 / Time Frame 10

CC ID: 1225046
Time Frame Type: Range
Start: 2019-03-24
End: 2020-01-25
Description:

Dates of collection for Dixie County

Extent Group 1 / Time Frame 11

CC ID: 1225048
Time Frame Type: Range
Start: 2018-12-12
End: 2019-04-28
Description:

Dates of collection for Glades County

Extent Group 1 / Time Frame 12

CC ID: 1225049
Time Frame Type: Range
Start: 2018-11-30
End: 2020-01-20
Description:

Dates of collection for Hardee County

Extent Group 1 / Time Frame 13

CC ID: 1225050
Time Frame Type: Range
Start: 2018-12-11
End: 2019-01-16
Description:

Dates of collection for Hendry County

Extent Group 1 / Time Frame 14

CC ID: 1225051
Time Frame Type: Range
Start: 2018-12-06
End: 2020-01-06
Description:

Dates of collection for Highlands County

Extent Group 1 / Time Frame 15

CC ID: 1225052
Time Frame Type: Range
Start: 2018-12-24
End: 2020-01-06
Description:

Dates of collection for Okeechobee County

Extent Group 1 / Time Frame 16

CC ID: 1225053
Time Frame Type: Range
Start: 2018-11-30
End: 2019-03-24
Description:

Dates of collection for St. Johns County

Extent Group 1 / Time Frame 17

CC ID: 1225054
Time Frame Type: Range
Start: 2018-12-24
End: 2019-04-12
Description:

Dates of collection for Orange County

Extent Group 1 / Time Frame 18

CC ID: 1225055
Time Frame Type: Range
Start: 2018-12-24
End: 2019-04-25
Description:

Dates of collection for Martin County

Extent Group 1 / Time Frame 19

CC ID: 1225056
Time Frame Type: Range
Start: 2018-11-30
End: 2019-01-10
Description:

Dates of collection for Sarasota County

Extent Group 1 / Time Frame 20

CC ID: 1225057
Time Frame Type: Range
Start: 2018-11-30
End: 2020-01-20
Description:

Dates of collection for Manatee County

Extent Group 1 / Time Frame 21

CC ID: 1225058
Time Frame Type: Range
Start: 2018-11-26
End: 2020-01-21
Description:

Dates of collection for Madison County

Extent Group 1 / Time Frame 22

CC ID: 1225061
Time Frame Type: Range
Start: 2019-12-21
End: 2020-01-17
Description:

Dates of collection for Suwannee County

Extent Group 1 / Time Frame 23

CC ID: 1225062
Time Frame Type: Range
Start: 2018-11-25
End: 2020-01-22
Description:

Dates of collection for Union County

Extent Group 1 / Time Frame 24

CC ID: 1225039
Time Frame Type: Range
Start: 2018-11-28
End: 2020-01-22
Description:

Dates of collection for Baker County

Extent Group 1 / Time Frame 25

CC ID: 1225040
Time Frame Type: Range
Start: 2018-11-28
End: 2020-01-21
Description:

Dates of collection for Bradford County

Extent Group 1 / Time Frame 26

CC ID: 1225042
Time Frame Type: Range
Start: 2018-12-06
End: 2019-01-10
Description:

Dates of collection for Charlotte County

Extent Group 1 / Time Frame 27

CC ID: 1225047
Time Frame Type: Range
Start: 2018-12-05
End: 2020-01-08
Description:

Dates of collection Gilchrist County

Extent Group 1 / Time Frame 28

CC ID: 1225059
Time Frame Type: Range
Start: 2019-01-25
End: 2019-03-01
Description:

Dates of collection for Indian River County

Extent Group 1 / Time Frame 29

CC ID: 1225060
Time Frame Type: Range
Start: 2018-12-24
End: 2019-04-24
Description:

Dates of collection for St. Lucie County

Extent Group 1 / Time Frame 30

CC ID: 1225063
Time Frame Type: Range
Start: 2019-12-19
End: 2020-01-18
Description:

Dates of collection for Hamilton County

Extent Group 1 / Time Frame 31

CC ID: 1225064
Time Frame Type: Range
Start: 2019-01-05
End: 2019-04-15
Description:

Dates of collection for Palm Beach County

Extent Group 1 / Time Frame 32

CC ID: 1225065
Time Frame Type: Range
Start: 2019-01-25
End: 2020-01-25
Description:

Dates of collection for Taylor County

Extent Group 1 / Time Frame 33

CC ID: 1225066
Time Frame Type: Range
Start: 2019-11-30
End: 2020-01-25
Description:

Date of collection for Lafayette County

Extent Group 1 / Time Frame 34

CC ID: 1225067
Time Frame Type: Range
Start: 2018-11-30
End: 2020-01-20
Description:

Dates of collection for Polk County

Extent Group 1 / Time Frame 35

CC ID: 1225068
Time Frame Type: Range
Start: 2018-12-07
End: 2019-04-12
Description:

Dates of collection for Osceola County

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1225070

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1225071

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:6360
EPSG Name: NAVD88 height (ftUS)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and 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: 1225018
Start Date: 2021-04-12
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9275/details/9275
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1225019
Start Date: 2021
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/FL_Peninsular_FDEM_2018_D19_DRRA/
Distributor: U.S. Geological Survey (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, Florida State Plane North/East/West NAD83(2011) coordinates and orthometric heights in feet.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 1225020
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, spatial metadata, vertical accuracy information, and shapefiles.

URL 2

CC ID: 1225021
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Alachua_2018/reports/Alachua_County_Report.pdf
Name: Lidar Report - Alachua County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Alachua County lidar report.

URL 3

CC ID: 1225022
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.

URL 4

CC ID: 1225106
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Baker_2018/reports/Baker_County_Report.pdf
Name: Lidar Report - Baker County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Baker County lidar report.

URL 5

CC ID: 1225107
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Bradford_2018/reports/Bradford_County_Report.pdf
Name: Lidar Report - Bradford County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Bradford County lidar report.

URL 6

CC ID: 1225108
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Brevard_2018/reports/Brevard_County_Report.pdf
Name: Lidar Report - Brevard County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Brevard County lidar report.

URL 7

CC ID: 1225109
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Charlotte_2018/reports/Charlotte_County_Report_USGS.pdf
Name: Lidar Report - Charlotte County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Charlotte County lidar report.

URL 8

CC ID: 1225110
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Clay_2018/reports/Clay_County_Report.pdf
Name: Lidar Report - Clay County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Clay County lidar report.

URL 9

CC ID: 1225111
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Collier_2018/reports/Collier_County_Report_USGS.pdf
Name: Lidar Report - Collier County
File Resource Format: pdf
Description:

Link to the Collier County lidar report.

URL 10

CC ID: 1225112
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Columbia_2018/reports/Columbia_County_Report.pdf
Name: Lidar Report - Columbia County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Columbia County lidar report.

URL 11

CC ID: 1225113
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Desoto_2018/reports/Desoto_County_Report.pdf
Name: Lidar Report - DeSoto County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the DeSoto County lidar report.

URL 12

CC ID: 1225114
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Dixie_2018/reports/Dixie_County_Report_USGS.pdf
Name: Lidar Report - Dixie County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Dixie County lidar report.

URL 13

CC ID: 1225115
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Duval_2018/reports/Duval_County_Report.pdf
Name: Lidar Report - Duval County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Duval County lidar report.

URL 14

CC ID: 1225116
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Gilchrist_2018/reports/Gilchrist_County_Report.pdf
Name: Lidar Report - Gilchrist County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Gilchrist County lidar report.

URL 15

CC ID: 1225117
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Glades_2018/reports/Glades_County_Report_USGS.pdf
Name: Lidar Report - Glades County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Glades County lidar report.

URL 16

CC ID: 1225118
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Hamilton_2018/reports/Hamilton_County_Report.pdf
Name: Lidar Report - Hamilton County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Hamilton County lidar report.

URL 17

CC ID: 1225119
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Hardee_2018/reports/Hardee_County_Report.pdf
Name: Lidar Report - Hardee County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Hardee County lidar report.

URL 18

CC ID: 1225120
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Hendry_2018/reports/Hendry_County_Report_USGS.pdf
Name: Lidar Report - Hendry County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Hendry County lidar report.

URL 19

CC ID: 1225121
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Highlands_2018/reports/Highlands_County_Report.pdf
Name: Lidar Report - Highlands County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Highlands County lidar report.

URL 20

CC ID: 1225122
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_IndianRiver_2018/reports/Indian_River_County_Report_USGS.pdf
Name: Lidar Report - Indian River County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Indian River County lidar report.

URL 21

CC ID: 1225123
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_KeyBiscayne_2020/reports/Key_Biscayne_County_Report_USGS.pdf
Name: Lidar Report - Key Biscayne
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Key Biscayne lidar report.

URL 22

CC ID: 1225124
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Lafayette_2018/reports/Lafayette_County_Report.pdf
Name: Lidar Report - Lafayette County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Lafayette County lidar report.

URL 23

CC ID: 1225125
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Madison_2018/reports/Madison_County_Report.pdf
Name: Lidar Report - MadisonCounty
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Madison County lidar report.

URL 24

CC ID: 1225126
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Manatee_2018/reports/Manatee_County_Report.pdf
Name: Lidar Report - Manatee County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Manatee County lidar report.

URL 25

CC ID: 1225127
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Martin_2018/reports/Martin_County_Report_USGS.pdf
Name: Lidar Report - Martin County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Martin County lidar report.

URL 26

CC ID: 1225128
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Nassau_2018/reports/Nassau_County_Report_USGS.pdf
Name: Lidar Report - Nassau County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Nassau County lidar report.

URL 27

CC ID: 1225129
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Okeechobee_2018/reports/Okeechobee_County_Report.pdf
Name: Lidar Report - Okeechobee County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Okeechobee County lidar report.

URL 28

CC ID: 1225130
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Orange_2018/reports/Orange_County_Report_USGS.pdf
Name: Lidar Report - Orange County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Orange County lidar report.

URL 29

CC ID: 1225131
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Osceola_2018/reports/Osceola_County_Report_USGS.pdf
Name: Lidar Report - Osceola County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Osceola County lidar report.

URL 30

CC ID: 1225132
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_PalmBeach_2019/reports/Palm_Beach_County_Report.pdf
Name: Lidar Report - Palm Beach County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Palm Beach County lidar report.

URL 31

CC ID: 1225133
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Polk_2018/reports/Polk_County_Report.pdf
Name: Lidar Report - Polk County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Polk County lidar report.

URL 32

CC ID: 1225134
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Sarasota_2018/reports/Sarasota_County_Report_USGS.pdf
Name: Lidar Report - Sarasota County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Sarasota County lidar report.

URL 33

CC ID: 1225135
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_StJohns_2018/reports/StJohns_County_Report.pdf
Name: Lidar Report - St. Johns County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the St. Johns County lidar report.

URL 34

CC ID: 1225136
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_StLucie_2018/reports/St_Lucie_County_Report_USGS.pdf
Name: Lidar Report - St. Lucie County
File Resource Format: pdf
Description:

Link to the St. Lucie County lidar report.

URL 35

CC ID: 1225137
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Suwannee_2018/reports/Suwannee_County_Report.pdf
Name: Lidar Report - Suwannee County
File Resource Format: pdf
Description:

Link to the Suwannee County lidar report.

URL 36

CC ID: 1225138
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Taylor_2018/reports/Taylor_County_Report.pdf
Name: Lidar Report - Taylor County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Taylor County lidar report.

URL 37

CC ID: 1225139
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Union_2018/reports/Union_County_Report.pdf
Name: Lidar Report - Union County
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Union County lidar report.

URL 38

CC ID: 1225172
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_FDEM_2018_D19_DRRA/USGS_FL_Peninsular_FDEM_2018_D19_DRRA_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.

URL 39

CC ID: 1225173
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Alachua_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Alachua County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 40

CC ID: 1225174
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Baker_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Baker County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 41

CC ID: 1225175
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Bradford_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Bradford County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 42

CC ID: 1225176
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Brevard_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Brevard County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 43

CC ID: 1225177
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Charlotte_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Charlotte County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 44

CC ID: 1225178
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Clay_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Clay County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 45

CC ID: 1225179
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Columbia_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Columbia County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 46

CC ID: 1225180
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_DeSoto_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - DeSoto County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 47

CC ID: 1225181
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Dixie_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Dixie County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 48

CC ID: 1225182
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Duval_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Duval County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 49

CC ID: 1225183
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Gilchrist_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Gilchrist County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 50

CC ID: 1225184
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Glades_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Glades County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 51

CC ID: 1225185
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hamilton_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Hamilton County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 52

CC ID: 1225186
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hardee_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Hardee County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 53

CC ID: 1225187
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hendry_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Hendry County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 54

CC ID: 1225188
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Highlands_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Highlands County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 55

CC ID: 1225189
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_IndianRiver_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Indian River County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 56

CC ID: 1225190
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_KeyBiscayne_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Key Biscayne County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 57

CC ID: 1225191
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Lafayette_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Lafayette County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 58

CC ID: 1225192
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Madison_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Madison County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 59

CC ID: 1225193
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Manatee_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Manatee County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 60

CC ID: 1225194
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Martin_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Martin County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 61

CC ID: 1225195
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Nassau_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Nassau County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 62

CC ID: 1225196
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Okeechobee_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Okeechobee County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 63

CC ID: 1225197
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Orange_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Orange County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 64

CC ID: 1225198
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Osceola_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Osceola County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 65

CC ID: 1225199
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_PalmBeach_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Palm Beach County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 66

CC ID: 1225200
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Polk_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Polk County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 67

CC ID: 1225201
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Sarasota_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Sarasota County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 68

CC ID: 1225202
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_StJohns_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - St. Johns County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 69

CC ID: 1225203
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_StLucie_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - St. Lucie County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 70

CC ID: 1225204
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Suwannee_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Suwannee County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 71

CC ID: 1225205
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Taylor_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Taylor County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 72

CC ID: 1225206
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Union_2018/ept.json
Name: USGS Entwine Point Tile (EPT) - Union County
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 73

CC ID: 1225302
URL: https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Alachua_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Baker_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Bradford_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Brevard_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Charlotte_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Clay_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Columbia_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Desoto_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Dixie_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Duval_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Gilchrist_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Glades_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hamilton_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hardee_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hendry_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Highlands_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_IndianRiver_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_KeyBiscayne_2020/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Lafayette_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Madison_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Manatee_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Martin_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Nassau_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Okeechobee_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Orange_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Osceola_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_PalmBeach_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Polk_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Sarasota_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_StJohns_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_StLucie_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Suwannee_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Taylor_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Union_2018/ept.json%22]
Name: USGS 3D View
URL Type:
Online Resource
Description:

Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.

Technical Environment

Description:

MicroStation Version 8; TerraScan Version 18; TerraModeler Version 18; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.3; Global Mapper 19; Leica Cloud Pro 1.2.4; Windows 10 Operating System

\\point_cloud\tilecls\*.las

Data Quality

Vertical Positional Accuracy:

The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm (0.64 ft) at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm (0.33 ft) in the bare earth and urban land cover classes. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm (0.64 ft) or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.

USGS Determined Vertical Accuracy:

Non-Vegetated Vertical Accuracy (NVA) = 11.13 cm at 95% Confidence Level or 5.7 cm RMSE

Vegetated Vertical Accuracy (VVA) = 18.01 cm at 95th Percentile

Completeness Report:

These LAS data files include 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 the data pass Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data cover the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Lineage Statement:

The lidar data were collected for the Florida Department of Emergency Management (FDEM) and provided to the USGS. The NOAA Office for Coastal Management (OCM) ingested references for 34/35 counties that make up this dataset, to the USGS Entwine Point Tile (EPT) files hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. For Collier County, the DAV is accessing on-prem files.

Sources

Ground Control for the Florida Peninsular FDEM 2018 D19 DRRA Project

CC ID: 1225028
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial Inc.
Publish Date: 2019-12-06
Extent Type: Discrete
Extent Start Date/Time: 2019-07-12
Source Contribution:

This data source was used (along with airborne GPS/IMU data) to georeference the LiDAR point cloud data.

USGS AWS Entwine Point Tiles

CC ID: 1225305
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://usgs.entwine.io/
Citation URL Name: USGS / Entwine
Citation URL Description:

This site provides all the EPT links to the 34 out of the 35 datasets that make up this project. At the time of processing, Collier County was not yet available by EPT.

Process Steps

Process Step 1

CC ID: 1225029
Description:

Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Quantum Spatial, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.

Process Date/Time: 2019-12-16 00:00:00

Process Step 2

CC ID: 1225030
Description:

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2019-12-16 00:00:00

Process Step 3

CC ID: 1225797
Description:

The NOAA Office for Coastal Management (OCM) downloaded data sets from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The data sets downloaded were:

FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Collier_2018/ Number of files: 530

FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_KeyBiscayne_2020/ Number of files: 14

FL_Peninsular_FDEM_2018_D19_DRRA/FL_Peninsular_FDEM_Nassau_2018/ Number of files: 763

These files were processed to the Data Access Viewer (DAV) and https. Additional areas will be downloaded, processed, and added to this data set as they are made available from USGS.

The data were in FL State Plane East (NAD83 2011), US survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 6 - Buildings, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 6, 7, 9, 17, 18, 20.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges.

2. Internal OCM scripts were run on the laz files to:

a. Convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model

b. Convert the Collier, Key Biscayne, and Nassau laz files from FL State Plane East Zone 0901 (NAD83 2011), US survey foot coordinates to geographic coordinates

c. Convert from vertical units of feet to meters

d. Filter points outside the elevation range of -100 to 3000 feet

e. Filter points outside the geographic range of the bounding coordinates of -89, 24, -79, 31 degrees

f. Assign the geokeys, sort the data by gps time and zip the data to database and to https.

Process Date/Time: 2021-04-05 00:00:00
Process Contact: Office for Coastal Management (OCM)

Process Step 4

CC ID: 1225813
Description:

With the release of the remainder of the counties in EPT format, the on prem versions of Nassau County and Key Biscayne were removed from the database and the USGS EPT versions were leveraged instead. Collier County was not available as EPT at this time and so the data for it was retained on prem. The dataset was however, converted from ellipsoid elevations to NAVD88 (GEOID12B) elevations in order to be in the same vertical datum as the leveraged USGS EPT county versions.

Process Date/Time: 2023-03-03 00:00:00
Process Contact: Office for Coastal Management (OCM)

Process Step 5

CC ID: 1225031
Description:

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical elevations in NAVD88 (GEOID12B).

Process Date/Time: 2021-01-01 00:00:00
Process Contact: U.S. Geological Survey

Process Step 6

CC ID: 1225306
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. At the time of processing, Collier County was not yet available via EPT. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.

These are the AWS URLs being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Alachua_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Baker_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Bradford_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Brevard_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Charlotte_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Clay_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Columbia_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Desoto_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Dixie_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Duval_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Gilchrist_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Glades_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hamilton_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hardee_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Hendry_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Highlands_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_IndianRiver_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_KeyBiscayne_2020/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Lafayette_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Madison_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Manatee_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Martin_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Nassau_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Okeechobee_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Orange_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Osceola_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_PalmBeach_2019/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Polk_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Sarasota_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_StJohns_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_StLucie_2020/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Suwannee_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Taylor_2018/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_FDEM_Union_2018/ept.json

Process Date/Time: 2023-03-24 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2018 - 2019 USGS Lidar: Florida Peninsular

Catalog Details

Catalog Item ID: 69496
GUID: gov.noaa.nmfs.inport:69496
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2023-03-27 14:07+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2023-03-31
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16