2018 Town of Nantucket Lidar DEM: Nantucket Island, MA
OCM Partners
Data Set
(DS)
| ID: 67488
| Published / External
Created: 2022-06-30
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Last Modified: 2024-01-10
Project (PRJ) | ID: 49404
ID: 67488
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2018 Town of Nantucket Lidar DEM: Nantucket Island, MA |
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Short Name | |
* Status | Completed |
Creation Date | 2018 |
Revision Date | |
• Publication Date | 2018-10-15 |
* » Abstract |
Product: Bare earth Digital Elevation Model (DEM) data. Geographic Extent: Nantucket county Massachusetts, covering approximately 91 square miles. Dataset Description: The Nantucket project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, Feet and vertical datum of NAVD88 (GEOID12B), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 1,577 individual 1250 ft x 1250 ft tiles, as tiled Intensity Rasters, and as tiled bare-earth DEM; all tiled to the same 1250 ft x 1250 ft schema. Ground Conditions: Lidar was collected in early to mid 2018, 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, Sanborn Map Company, Inc. established a total of 20 ground control points that were used to calibrate and validate the lidar to known ground locations established throughout the project area. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. |
* 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 DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot 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. |
Notes | |
Other Citation Details | |
• Supplemental Information |
Raster File Type = TIF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 2 Foot Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 0.643 ft NVA |
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 |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > MASSACHUSETTS |
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 |
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 | Sanborn Map Company, Inc., Town of Nantucket |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2022 |
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 | 2022 |
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 |
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Mobile | |
URL | https://coast.noaa.gov |
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Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2022 |
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 |
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Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2022 |
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 |
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URL | https://coast.noaa.gov |
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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 | -70.3240401506 |
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* » E° Bound | -69.9511498712 |
* » N° Bound | 41.3971284252 |
* » S° Bound | 41.2321234447 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2018-05-01 |
End | 2018-10-15 |
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Spatial Information
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Reference Systems
Reference System
EPSG Code | EPSG:6360 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:6490 | ||||||||||||||||||||||||||||
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Access Information
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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 | |
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Distribution Information
Start Date | 2022-06-29 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9552/details/9552 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - 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) | Zip |
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Compression | Zip |
Review Status |
Start Date | 2022-06-29 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/MA_Nantucket_DEM_2018_9552/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in GeoTiff format, MA Island State Plane NAD83(2011) US survey feet coordinates and orthometric heights in feet. |
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File Type (Deprecated) | GeoTIFF |
Distribution Format | GeoTIFF |
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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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9551/supplemental/ma2018_nantucket_m9551.kmz |
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Name | Browse Graphic |
URL Type | Browse Graphic |
File Resource Format | KML |
Description |
This graphic displays the footprint for this lidar data set. |
URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9551/details/9551 |
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Name | Custom Point Download |
URL Type | Online Resource |
File Resource Format | Zip |
Description |
Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9551/supplemental/312018207_Nantucket_MA_Ortho_Lidar_Report_508OCM.pdf |
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Name | Lidar Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the lidar report. |
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Technical Environment
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required Vertical Accuracy is: 0.643 ft at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 0.328 ft in the "bare earth" and "urban" land cover classes. This is a required accuracy. The Vertical Accuracy was tested with 20 control points located in bare earth and urban (non-vegetated) areas. The control points were distributed throughout the project area and were surveyed using GPS techniques. AccuracyZ has been tested to meet 0.643 ft or better 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. Tested 0.215 feet at a 95% confidence level (or 3.3 cm RMSE) using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The Vertical Accuracy of the DEM was calculated using 20 control points located in the Bare Earth and Urban land cover categories. |
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Completeness Report |
Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes 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-CO |
» 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 tape and to cloud storage. |
Lineage
» Lineage Statement |
This data was provided by Mass GIS to the NOAA OCM for custom distribution by the NOAA Digital Coast Data Access Viewer (DAV) and bulk distribution via https. |
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Sources
Citation Title | Digital Elevation Models (DEMs) |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Mass GIS |
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Citation URL | https://www.mass.gov/orgs/massgis-bureau-of-geographic-information |
Citation URL Name | Mass GIS |
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Process Steps
Process Step Number | 1 |
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» Description |
The following steps describe the Raw Data Processing and Calibration process: 1) Technicians processed the raw data to LAS format flight lines using the ABGNSS/IMU solution. 2) Technicians use TerraSolid TerraMatch to calculate initial calibration adjustment angles by mission and/or block. This is accomplished by identifying ground and above ground feature observations between flight-lines and calculating the offsets. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable. 3) Once the angle calculation was completed the adjusted settings were applied to all of the flight-lines of the mission and/or block and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight-line overlaps match and adjusted as necessary until the results met the project specifications. 4) 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 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the calibrated point cloud against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. |
Process Date/Time | 2018-01-01 00:00:00 |
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Process Step Number | 2 |
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» Description |
LAS Point Classification: The point classification is performed as described below. The bare-earth surface is manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is edited and QC'd, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and River Pond hydro flattening breaklines were then classified to water (ASPRS Class 9) using LP360 functionality. A buffer of 0.5 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and River Stream 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 overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight-line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper is used as a final check of the bare-earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for the Classified Point Cloud Data. LAStools, LP360 and TerraScan software was used to perform statistical analysis of the classes in the LAS files, on a per tile level to verify classification metrics and full LAS header information. |
Process Date/Time | 2018-10-12 00:00:00 |
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Process Step Number | 3 |
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» Description |
Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 2 foot hydro-flattened Raster DEM. Using automated scripting routines within ArcMap, an GeoTIFF TIF file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. |
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Process Step Number | 4 |
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» Description |
The NOAA Office for Coastal Management (OCM) was provided this data set from the office of Mass GIS. The total number of files received and processed was 1619. The data were in Massachusetts Island State Plane NAD83(2011), US survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The bare earth raster files were at a 2 feet grid spacing. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Used internal an script to assign the EPSG codes (Horizontal EPSG: 6490 and Vertical EPSG: 6360) to the GeoTiff formatted files. 2. Copied the files to https. |
Process Date/Time | 2022-06-30 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Child Items
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Related Items
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Data Set (DS) | Cross Reference |
2018 Town of Nantucket Lidar: Nantucket Island, MA |
Catalog Details
Catalog Item ID | 67488 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2022-06-30 18:30+0000 |
Metadata Record Last Modified By | Kirk Waters |
» Metadata Record Last Modified | 2024-01-10 19:25+0000 |
Metadata Record Published | 2024-01-10 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-06-30 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-06-30 |
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