2017 USGS Lidar: Dodge County, WI
OCM Partners
Data Set
(DS)
| ID: 72327
| Published / External
Created: 2024-03-14
|
Last Modified: 2024-03-14
Project (PRJ) | ID: 49401
ID: 72327
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2017 USGS Lidar: Dodge County, WI |
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Short Name | wi2017_dodge_m10096_metadata |
* Status | Completed |
Creation Date | 2017 |
Revision Date | |
• Publication Date | 2017-12-31 |
* » Abstract |
Product Description of Original Data: These lidar data are processed Classified LAS 1.4 files, formatted to 1351 individual 4,500 ft x 4,500 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: The AOI is covering approximately 907 square miles of Dodge County along with a 100-foot buffer zone outside the county for the lidar data. Dataset Description of Original Data: The WI Dodge County Lidar 2017 B17 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.70 meter. Project specifications were based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD 1983 2011 WISCRS Dodge and Jefferson Survey Feet and vertical datum of NAVD88 (GEOID12B), Survey Feet. Lidar data was delivered as; flightline-extent raw LAS v1.4 swaths, classified point cloud LAS v1.4 files formatted to 1351 individual 4,500 ft x 4,500 ft tiles in NAD 1983 2011 WISCRS Dodge and Jefferson Survey Feet. Derivatives were produced as tiled; Bare Earth Surface DEMs, Intensity Images; all tiled to the same 4,500 ft x 4,500 ft schema. Ground Conditions: Lidar was collected in April of 2017, 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, Woolpert established a total of 15 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (58 NVA points and 48 VVA points) and 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. |
* Purpose |
The Dodge County Wisconsin QL2 Lidar 2017 project was collected in April 2017. The lidar data will deliver benefits and provide transformational data necessary to gain a better understanding of current topographic conditions within the 907 square mile county. This high-resolution QL2 lidar dataset addresses several state functional activites including: flood-risk management, infrastructure and construction management, urban and regional planning, natural resources conservation, water supply and quality, cultural resources preservation and management, wildlife habitat management, renewable energy resources, resource mining, agriculture and precision farming, and telecommunications. |
Notes | |
Other Citation Details | |
• Supplemental Information |
USGS Contract No. G16PC00022 CONTRACTOR: Woolpert, Inc. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS NGP Lidar Base Specifications v1.2", "ldrsens" : "Leica ALS70_HP ", "ldrmaxnr" : "4", "ldrnps" : "0.7", "ldrdens" : "2.0", "ldranps" : "0.7", "ldradens" : "2.0", "ldrfltht" : "1500", "ldrfltsp" : "150", "ldrscana" : "50", "ldrscanr" : "25.8", "ldrpulsr" : "177.4", "ldrpulsd" : "9", "ldrpulsw" : "2.7", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.34", "ldrswatw" : "1399", "ldrswato" : "33.36", "ldrcrs" : "NAD 1983 2011 WISCRS Dodge and Jefferson US Feet", "ldrgeoid" : "GEOID12B" }, "ldraccur" : {
"ldrchacc" : "0.273", "rawnva" : "0.084", "rawnvan" : "58", "clsnva" : "0.080", "clsnvan" : "58", "clsvva" : "0.248", "clsvvan" : "48" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : {
"clascode" : "1", "clasitem" : "Processed, but unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare earth" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" } }} |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION |
ISO 19115 Topic Category | elevation |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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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 > WISCONSIN |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords | Airplane > Airplane |
Physical Location
• » Organization | Office for Coastal Management |
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• » City | Charleston |
• » State/Province | SC |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
Distribution Liability |
The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and within the limitations of the data for which it was requested and prepared, in general, and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data. It is not appropriate to use the related graphics as data. Woolpert gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from a Woolpert server, and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully upon Woolpert's computer system, no warranty, expressed or implied, is made regarding the utility of the data on another system, or for general or scientific purposes; nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. 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 | Woolpert, Inc., USGS |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2024 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2024 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2017 |
Date Effective To | |
Organization | U.S. Geological Survey |
Address |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
Email Address | |
Phone | |
Fax | |
Mobile | |
URL | https://usgs.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2024 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
---|---|
* » Date Effective From | 2024 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
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* Contact Instructions |
Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -89.011948644 |
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* » E° Bound | -88.398340438 |
* » N° Bound | 43.634264032 |
* » S° Bound | 43.193717273 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Discrete |
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* » Start | 2017-04-12 |
End | |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Extent Group 1 / Time Frame 2
* » Time Frame Type | Discrete |
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* » Start | 2017-04-14 |
End | |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Extent Group 1 / Time Frame 3
* » Time Frame Type | Discrete |
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* » Start | 2017-04-15 |
End | |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Extent Group 1 / Time Frame 4
* » Time Frame Type | Discrete |
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* » Start | 2017-04-17 |
End | |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Extent Group 1 / Time Frame 5
* » Time Frame Type | Discrete |
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* » Start | 2017-04-23 |
End | |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
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Horizontal Distance | |
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Vertical Distance | |
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Equivalent Scale Denominator | |
Level of Detail Description |
Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Complex Object Present? | |
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Point Object Present? | Yes |
Point Object Count | 13085658555 |
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Reference Systems
Reference System
EPSG Code | EPSG:3857 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:6360 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2024-03-14 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10096/details/10096 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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 Date/Time | |
File Type (Deprecated) | |
Distribution Format | Not Applicable |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2017 |
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End Date | Present |
» Download URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_WI_DodgeCo_2017_LAS_2019/laz/ |
Distributor | U.S. Geological Survey (2017 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in LAZ format, WISCRS Dodge & Jefferson NAD83 (2011) US feet, coordinates and orthometric (Geoid12b) elevations in US feet. |
File Date/Time | |
File Type (Deprecated) | |
Distribution Format | LAS/LAZ - LASer |
File Size | |
Application Version | |
Compression | LAZ |
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URLs
URL | https://coast.noaa.gov/dataviewer/ |
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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 | https://usgs.entwine.io/data/view.html?r=https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_DodgeCo_2017_LAS_2019/ept.json |
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Name | USGS 3D View |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_DodgeCo_2017_LAS_2019/ept.json |
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Name | USGS Entwine Point Tile (EPT) |
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 | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WI_Dodge_County_Lidar_2017_B17/WI_DodgeCo_2017/reports/WI_Dodge_County_Lidar_2017_B17_%20Report.pdf |
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Name | Lidar Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the Woolpert lidar report. |
URL | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/WI_Dodge_County_Lidar_2017_B17/WI_DodgeCo_2017/ |
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Name | USGS Additional Info |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the reports, breaklines, metadata, and spatial metadata. |
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Activity Log
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Issues
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Issue |
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Author | |
Issue |
Technical Environment
Description |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
LAS data covering the DodgeCo_WI_Lidar_2017 Lidar Task Order was compared to independent survey control points to determine the NVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent VVA points. LAS Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.080 Meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.041 Meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Raw Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.084 Meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) 0.043 x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN using all lidar points against 58 NVA points. Bare-Earth DEM Non-Vegetated Vertical Accuracy (NVA) Tested 0.088 Meters Non-Vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) 0.045 x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM against 58 NVA points. Vegetated Vertical Accuracy (VVA) Tested 0.248 Meters at the 95th percentile reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM against 48 VVA points. VVA Errors larger than 95th percentile include: Point 3004, Easting 925031.983, Northing 771142.328, Z-Error 0.259 Meters |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
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 data passes Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency |
Data covers the entire area specified for this project. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | Yes |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | NCEI-NC |
» Approximate Delay Between Data Collection and Archiving | |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
Data is backed up to cloud storage. |
Lineage
» Lineage Statement |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) 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. |
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Sources
Citation Title | USGS AWS Entwine Point Tile (EPT) - USGS_LPC_WI_DodgeCo_2017 |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
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Citation URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_DodgeCo_2017_LAS_2019/ept.json |
Citation URL Name | Entwine Point Tile for USGS_LPC_WI_DodgeCo_2017 |
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Process Steps
Process Step Number | 1 |
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» Description |
Classified LAS Processing: Classification Filters were applied to aid in the definition of terrain characteristics and to maintain ground. Filtering processes address aspects of the data such as; ground points, noise points, air points, low points, manmade features, vegetation, and overlap points. The Bare Earth surface was manually reviewed to ensure correct classification of Class 2 (Ground). Upon completion of bare earth review hydro-breaklines were generated through heads-up digitization. Ground (Class 2) Lidar points inside Inland Ponds and Lakes, and Inland Streams and Rivers were classified to Water (Class 9). A buffer of 2.3 feet was used around each hydro-flattened feature to classify Ground points (Class 2) to Ignored ground (Class 10). Island features were checked to ensure that Ground point (Class 2) remained classified as Ground. Ground points (Class 2) within 2.3 feet of breaklines, used to reduce triangulation between bridge decks were also classified to Ignored ground (Class 10). All bridge decks were classified to Bridge (Class 17). All remaining Points were filtered , or manually classified to their respective Point Classification; Processed (Class 1), Low Noise (Class 7), High Noise (Class 18) Overlap data was identified using the Overlap Flag, LAS 1.4 specifications. All data was manually reviewed and any remaining artifacts removed. The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. Buildings (Class 6) was achieved via the used of digitized building footprints. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap including overlap default, ground, water, and ignored ground are then applied an overlap flag and reclassified to their respective standard classification value. The surveyed ground control points are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the lidar dataset. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.4 format, DEM files in ERDAS IMG format and ArcGrid format, 8-bit gray scale Intensity files in GeoTIFF format, Hydrologic and Bridge abutment breakline data in ESRI geodatabase format. |
Process Date/Time | 2017-04-12 00:00:00 |
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Process Step Number | 2 |
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» 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 (NAVD88 Geoid12b, US survey feet). |
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Process Contact | U.S. Geological Survey |
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Process Step Number | 3 |
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The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) 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. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_WI_DodgeCo_2017_LAS_2019/ept.json |
Process Date/Time | 2024-03-14 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Catalog Details
Catalog Item ID | 72327 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2024-03-14 18:10+0000 |
Metadata Record Last Modified By | Rebecca Mataosky |
» Metadata Record Last Modified | 2024-03-14 19:00+0000 |
Metadata Record Published | 2024-03-14 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2024-03-14 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2025-03-14 |
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