2018 - 2019 USGS Lidar: Florida Peninsular
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:69454 | Updated: July 31, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2018 - 2019 USGS Lidar: Florida Peninsular, https://www.fisheries.noaa.gov/inport/item/69454.
Full Citation Examples
Product: 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: Eleven counties in central Florida covering approximately 8995 total square miles.
Citrus County - covering approximately 689 square miles
Flagler County - covering approximately 338 square miles
Hernando County - covering approximately 532 square miles
Lake County - covering approximately 1146 square miles
Levy County - covering approximately 1262 square miles
Marion County - covering approximately 1626 square miles
Pinellas County - covering approximately 436 square miles
Putnam County - covering approximately 800 square miles
Seminole County - covering approximately 317 square miles
Sumter County - covering approximately 616 square miles
Volusia County - covering approximately 1233 square miles
Dataset Description: The Florida Peninsular QL1 2018 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 East and 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 fall 2018 and winter 2018 and 2019, 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, Quantum Spatial, Inc. utilized ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area.
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.
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 East or West NAD83(2011) US survey feet coordinates and orthometric heights in feet.
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
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
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-81.4567494902° W,
-81.0192222727° E,
28.8864442906° N,
28.6244031595° S
Seminole County
2018-12-04 - 2019-01-09
Dates of collection for Seminole County
Item Identification
| Title: | 2018 - 2019 USGS Lidar: Florida Peninsular |
|---|---|
| Short Name: | fl2018_peninsular_m9779_metadata |
| Status: | Completed |
| Creation Date: | 2019 |
| Publication Date: | 2021-03-04 |
| Abstract: |
Product: 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: Eleven counties in central Florida covering approximately 8995 total square miles. Citrus County - covering approximately 689 square miles Flagler County - covering approximately 338 square miles Hernando County - covering approximately 532 square miles Lake County - covering approximately 1146 square miles Levy County - covering approximately 1262 square miles Marion County - covering approximately 1626 square miles Pinellas County - covering approximately 436 square miles Putnam County - covering approximately 800 square miles Seminole County - covering approximately 317 square miles Sumter County - covering approximately 616 square miles Volusia County - covering approximately 1233 square miles Dataset Description: The Florida Peninsular QL1 2018 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 East and 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 fall 2018 and winter 2018 and 2019, 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, Quantum Spatial, Inc. utilized ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. 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. |
| 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" : "0.35", "ldrdens" : "8.0", "ldranps" : "0.309", "ldradens" : "8.0", "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" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.", "lasolap" : " There are no points identified as overlap ", "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
|
| UNCONTROLLED | |
| None | Citrus County |
| None | Flagler County |
| None | Hernando County |
| None | Lake County |
| None | Levy County |
| None | Marion County |
| None | Pinellas County |
| None | Putnam County |
| None | Seminole County |
| None | Sumter County |
| None | Volusia County |
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
|
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: | Quantum Spatial, Inc., USGS |
Support Roles
Data Steward
| Date Effective From: | 2023 |
|---|---|
| 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
| Date Effective From: | 2023 |
|---|---|
| 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
| Date Effective From: | 2019 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | U.S. Geological Survey |
| Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
| URL: | USGS Home |
Metadata Contact
| Date Effective From: | 2023 |
|---|---|
| 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
| Date Effective From: | 2023 |
|---|---|
| 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
| W° Bound: | -81.4567494902 | |
|---|---|---|
| E° Bound: | -81.0192222727 | |
| N° Bound: | 28.8864442906 | |
| S° Bound: | 28.6244031595 | |
| Description |
Seminole County |
|
Extent Group 1 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-04 |
| End: | 2019-01-09 |
| Description: |
Dates of collection for Seminole County |
Extent Group 2
Extent Group 2 / Geographic Area 1
| W° Bound: | -82.06 | |
|---|---|---|
| E° Bound: | -81.49 | |
| N° Bound: | 29.834 | |
| S° Bound: | 29.336 | |
| Description |
Putnam County |
|
Extent Group 2 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2019-01-12 |
| End: | 2019-04-25 |
| Description: |
Dates of collection for Putnam County |
Extent Group 3
Extent Group 3 / Geographic Area 1
| W° Bound: | -81.695 | |
|---|---|---|
| E° Bound: | -80.737 | |
| N° Bound: | 29.436 | |
| S° Bound: | 28.742 | |
| Description |
Volusia County |
|
Extent Group 3 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-04 |
| End: | 2019-03-22 |
| Description: |
Dates of collection for Volusia County |
Extent Group 4
Extent Group 4 / Geographic Area 1
| W° Bound: | -82.316 | |
|---|---|---|
| E° Bound: | -81.941 | |
| N° Bound: | 28.969 | |
| S° Bound: | 28.322 | |
| Description |
Sumter County |
|
Extent Group 4 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2019-03-24 |
| End: | 2019-04-25 |
| Description: |
Dates of collection for Sumter County |
Extent Group 5
Extent Group 5 / Geographic Area 1
| W° Bound: | -82.857 | |
|---|---|---|
| E° Bound: | -82.575 | |
| N° Bound: | 28.183 | |
| S° Bound: | 27.605 | |
| Description |
Pinellas County |
|
Extent Group 5 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-07 |
| End: | 2019-03-08 |
| Description: |
Dates of collection for Pinellas County |
Extent Group 6
Extent Group 6 / Geographic Area 1
| W° Bound: | -82.522 | |
|---|---|---|
| E° Bound: | -81.642 | |
| N° Bound: | 29.505 | |
| S° Bound: | 28.954 | |
| Description |
Marion County |
|
Extent Group 6 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-04 |
| End: | 2019-04-25 |
| Description: |
Dates of collection for Marion County |
Extent Group 7
Extent Group 7 / Geographic Area 1
| W° Bound: | -83.183 | |
|---|---|---|
| E° Bound: | -82.394 | |
| N° Bound: | 29.6 | |
| S° Bound: | 28.991 | |
| Description |
Levy County |
|
Extent Group 7 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-05 |
| End: | 2019-04-22 |
| Description: |
Dates of collection for Levy County |
Extent Group 8
Extent Group 8 / Geographic Area 1
| W° Bound: | -81.975 | |
|---|---|---|
| E° Bound: | -81.361 | |
| N° Bound: | 29.229 | |
| S° Bound: | 28.346 | |
| Description |
Lake County |
|
Extent Group 8 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-05 |
| End: | 2019-04-25 |
| Description: |
Dates of collection for Lake County |
Extent Group 9
Extent Group 9 / Geographic Area 1
| W° Bound: | -82.689 | |
|---|---|---|
| E° Bound: | -82.05 | |
| N° Bound: | 28.694 | |
| S° Bound: | 28.431 | |
| Description |
Hernando County |
|
Extent Group 9 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2019-03-24 |
| End: | 2019-04-21 |
| Description: |
Dates of collection for Hernando County |
Extent Group 10
Extent Group 10 / Geographic Area 1
| W° Bound: | -81.523 | |
|---|---|---|
| E° Bound: | -81.097 | |
| N° Bound: | 29.615 | |
| S° Bound: | 29.27 | |
| Description |
Flagler County |
|
Extent Group 10 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2019-01-01 |
| End: | 2019-03-22 |
| Description: |
Dates of collection for Flagler County |
Extent Group 11
Extent Group 11 / Geographic Area 1
| W° Bound: | -82.786 | |
|---|---|---|
| E° Bound: | -82.19 | |
| N° Bound: | 29.051 | |
| S° Bound: | 28.664 | |
| Description |
Citrus County |
|
Extent Group 11 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2018-12-07 |
| End: | 2019-04-21 |
| Description: |
Dates of collection for Citrus 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
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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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
| Start Date: | 2023-03-21 |
|---|---|
| End Date: | Present |
| Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9779/details/9779 |
| Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2023 - 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
| Start Date: | 2019 |
|---|---|
| End Date: | Present |
| Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/FL_Peninsular_2018_D18/ |
| Distributor: | U.S. Geological Survey (2019 - Present) |
| File Name: | Bulk Download |
| Description: |
Bulk download of data files in LAZ format, Florida State Plane East or West NAD83(2011) US survey feet coordinates and orthometric heights in feet. |
| File Type (Deprecated): | LAZ |
| Distribution Format: | LAS/LAZ - LASer |
| Compression: | Zip |
URLs
URL 1
| 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 2
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/ |
|---|---|
| Name: | USGS Additional Info |
| URL Type: |
Online Resource
|
| Description: |
Link to the reports, breaklines, metadata, spatial metadata, vertical accuracy information, and shapefiles. |
URL 3
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Citrus_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Citrus 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 4
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Flagler_2019/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Flagler 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 5
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Hernando_2019/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Hernando 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 6
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Lake_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Lake 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 7
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Levy_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Levy 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 8
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Marion_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Marion 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 9
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Pinellas_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Pinellas 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 10
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Putnam_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Putnam 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 11
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Seminole_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Seminole 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 12
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Sumter_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Sumter 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 13
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Volusia_2018/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) - Volusia 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 14
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Citrus_2018/reports/Citrus_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Citrus County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Citrus County lidar report. |
URL 15
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Flagler_2019/reports/Flagler_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Flagler County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Flagler County lidar report. |
URL 16
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Hernando_2019/reports/Hernando_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Hernando County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Hernando County lidar report. |
URL 17
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Lake_2018/reports/Lake_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Lake County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Lake County lidar report. |
URL 18
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Levy_2018/reports/Levy_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Levy County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Levy County lidar report. |
URL 19
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Marion_2018/reports/Marion_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Marion County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Marion County lidar report. |
URL 20
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Pinellas_2018/reports/Pinellas_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Pinellas County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Pinellas County lidar report. |
URL 21
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Putnam_2018/reports/Putnam_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Putnam County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Putnam County lidar report. |
URL 22
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Seminole_2018/reports/Seminole_County_Report_USGS.pdf |
|---|---|
| Name: | Lidar Report - Seminole County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Seminole County lidar report. |
URL 23
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Sumter_2018/reports/Sumter_County_Report_USGS.pdf |
|---|---|
| Name: | Lidar Report - Sumter County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Sumter County lidar report. |
URL 24
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/FL_Peninsular_Volusia_2018/reports/Volusia_County_Report.pdf |
|---|---|
| Name: | Lidar Report - Volusia County |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Volusia County lidar report. |
URL 25
| URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Peninsular_2018_D18/USGS_FL_Peninsular_2018_D18_Project_Report.pdf |
|---|---|
| Name: | USGS Project Report |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
URL 26
Technical Environment
| Description: |
MicroStation Version 8; TerraScan Version 19; TerraModeler Version 19; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.3; Global Mapper 20; Leica Cloud Pro 1.2.4; Windows 10 Operating System \\point_cloud\tilecls\*.las |
|---|
Data Quality
| Vertical Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. 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 NOAA Office for Coastal Management (OCM) ingested references 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. |
|---|
Sources
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Lake_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Lake_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Levy_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Levy_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Marion_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Marion_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Seminole_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Seminole_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Volusia_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Volusia_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Flagler_2019/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Flagler_2019 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Hernando_2019/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Hernando_2019 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Pinellas_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Pinellas_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Putnam_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Putnam_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Citrus_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Citrus_2018 |
USGS AWS Entwine Point Tile
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Sumter_2018/ept.json |
| Citation URL Name: | Entwine Point Tile file for FL_Peninsular_Sumter_2018 |
Process Steps
Process Step 1
| 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: | 2020-05-28 00:00:00 |
Process Step 2
| Description: |
LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the WATERBODY, COASTAL and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 2.29 feet was also used around each hydro-flattened feature as well as Single Line Drains to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All WATERBODY Island, COASTAL 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. Buildings (ASPRS Class 6) were classified through an automated process in the initial ground routine. 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: | 2020-05-28 00:00:00 |
Process Step 3
| 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 the vertical units were converted to meters (NAVD88 Geoid12B). |
|---|---|
| Process Contact: | U.S. Geological Survey |
Process Step 4
| 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. 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_Citrus_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Flagler_2019/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Hernando_2019/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Lake_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Levy_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Marion_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Pinellas_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Putnam_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Seminole_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Sumter_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/FL_Peninsular_Volusia_2018/ept.json |
|---|---|
| Process Date/Time: | 2023-03-22 00:00:00 |
| Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
| Catalog Item ID: | 69454 |
|---|---|
| GUID: | gov.noaa.nmfs.inport:69454 |
| Metadata Record Created By: | Rebecca Mataosky |
| Metadata Record Created: | 2023-03-21 18:07+0000 |
| Metadata Record Last Modified By: | Rebecca Mataosky |
| Metadata Record Last Modified: | 2024-07-31 19:03+0000 |
| Metadata Record Published: | 2023-03-22 |
| Owner Org: | OCMP |
| Metadata Publication Status: | Published Externally |
| Do Not Publish?: | N |
| Metadata Last Review Date: | 2023-03-22 |
| Metadata Review Frequency: | 1 Year |
| Metadata Next Review Date: | 2024-03-22 |