Data Management Plan
GUID: gov.noaa.nmfs.inport:73799 | Published / External
Data Management Plan
DMP Template v2.0.1 (2015-01-01)
Please provide the following information, and submit to the NOAA DM Plan Repository.Reference to Master DM Plan (if applicable)
As stated in Section IV, Requirement 1.3, DM Plans may be hierarchical. If this DM Plan inherits provisions from a higher-level DM Plan already submitted to the Repository, then this more-specific Plan only needs to provide information that differs from what was provided in the Master DM Plan.
1. General Description of Data to be Managed
Original Dataset: This task is for a high-resolution data set of lidar covering the entire Lucas County area (+/- 347.1 sq. mi). The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.25 meter (16ppsm). Lidar data is a remotely sensed high resolution elevation data collected by a Leica CityMapper digital sensor active scanning (lidar) sensor. Lidar was collected between March 15, 2022, and March 21 2022 while no snow was on the ground, leaf-off and rivers were at or below normal levels. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The data was developed based on a horizontal datum/projection of NAD 83(HARN) State Plane Ohio North FIPS 3401 and a vertical datum of NAVD88 in units of US Survey Feet. Lidar data was delivered as processed LAS version 1.4 files formatted to 6.647 individual 1,250' x 1,250' tiles.
Notes: Only a maximum of 4000 characters will be included.
Notes: Data collection is considered ongoing if a time frame of type "Continuous" exists.
Notes: All time frames from all extent groups are included.
Notes: All geographic areas from all extent groups are included.
(e.g., digital numeric data, imagery, photographs, video, audio, database, tabular data, etc.)
(e.g., satellite, airplane, unmanned aerial system, radar, weather station, moored buoy, research vessel, autonomous underwater vehicle, animal tagging, manual surveys, enforcement activities, numerical model, etc.)
2. Point of Contact for this Data Management Plan (author or maintainer)
Notes: The name of the Person of the most recent Support Role of type "Metadata Contact" is used. The support role must be in effect.
Notes: The name of the Organization of the most recent Support Role of type "Metadata Contact" is used. This field is required if applicable.
3. Responsible Party for Data Management
Program Managers, or their designee, shall be responsible for assuring the proper management of the data produced by their Program. Please indicate the responsible party below.
Notes: The name of the Person of the most recent Support Role of type "Data Steward" is used. The support role must be in effect.
4. Resources
Programs must identify resources within their own budget for managing the data they produce.
5. Data Lineage and Quality
NOAA has issued Information Quality Guidelines for ensuring and maximizing the quality, objectivity, utility, and integrity of information which it disseminates.
(describe or provide URL of description):
Lineage Statement:
The NOAA Office for Coastal Management (OCM) downloaded the Lucas County, Ohio DEM data from the Ohio Geographically Referenced Information Program (OGRIP). NOAA OCM processed the data to make it available for custom downloads from the NOAA Digital Coast Data Access Viewer and for bulk downloads from AWS S3.
Process Steps:
- 2022-12-01 00:00:00 - Using City Mapper lidar sensors to acquire high density data, at a nominal pulse spacing (NPS) of 0.25 meters, were collected for this task order in 3 total missions. Multiple returns were recorded for each laser pulse along with an intensity value for each return. The survey crews were on-site, operating a Global Navigation Satellite System (GNSS) Base Station for the airborne GPS support.
- 2022-12-01 00:00:00 - The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Default (Class 1), Bare-earth (Class 2), Low Vegetation (Class 3), Medium Vegetation (Class 4), High Vegetation (Class 5), Building (Class 6), Noise (Class 7), Overlap Default (Class 17), and Overlap Ground (Class 18). 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. 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 and 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 1.2 format and 2.5 feet pixel size DEM files in Erdas IMG format. The method used to create the DEM consisted of isolating the ground (class 2) points and then outputting those points into a gridded format for additional QAQC to ensure DEM quality. Following QAQC process completion, a gridded raster file was created on a per tile basis. The task order projection information was applied to the final raster dataset. Prior to delivery, all raster files were visually reviewed to ensure coverage and reviewed using automated processes to ensure proper formatting.
- 2024-11-08 00:00:00 - The NOAA Office for Coastal Management (OCM) downloaded the Lucas County, OH DEM data from the Ohio Geographically Referenced Information Program (OGRIP). The data were in Ohio State Plane North NAD83 HARN, US survey feet coordinates and in NAVD88 (Geoid03) elevations in feet and were at a 1 foot grid spacing. OCM copied the raster files to https for Digital Coast storage and provisioning purposes.
(describe or provide URL of description):
6. Data Documentation
The EDMC Data Documentation Procedural Directive requires that NOAA data be well documented, specifies the use of ISO 19115 and related standards for documentation of new data, and provides links to resources and tools for metadata creation and validation.
Missing/invalid information:
- 1.7. Data collection method(s)
- 3.1. Responsible Party for Data Management
- 5.2. Quality control procedures employed
- 7.1.1. If data are not available or has limitations, has a Waiver been filed?
- 7.4. Approximate delay between data collection and dissemination
- 8.3. Approximate delay between data collection and submission to an archive facility
(describe or provide URL of description):
7. Data Access
NAO 212-15 states that access to environmental data may only be restricted when distribution is explicitly limited by law, regulation, policy (such as those applicable to personally identifiable information or protected critical infrastructure information or proprietary trade information) or by security requirements. The EDMC Data Access Procedural Directive contains specific guidance, recommends the use of open-standard, interoperable, non-proprietary web services, provides information about resources and tools to enable data access, and includes a Waiver to be submitted to justify any approach other than full, unrestricted public access.
This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to any one as other than a data set produced by Lucas County and the Ohio Statewide Imagery Program.
Notes: The name of the Organization of the most recent Support Role of type "Distributor" is used. The support role must be in effect. This information is not required if an approved access waiver exists for this data.
Notes: This field is required if a Distributor has not been specified.
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OH_Lucas_DEM_2022_10203/index.html
Notes: All URLs listed in the Distribution Info section will be included. This field is required if applicable.
Data is available online for bulk and custom downloads.
Notes: This field is required if applicable.
8. Data Preservation and Protection
The NOAA Procedure for Scientific Records Appraisal and Archive Approval describes how to identify, appraise and decide what scientific records are to be preserved in a NOAA archive.
(Specify NCEI-MD, NCEI-CO, NCEI-NC, NCEI-MS, World Data Center (WDC) facility, Other, To Be Determined, Unable to Archive, or No Archiving Intended)
Notes: This field is required if archive location is World Data Center or Other.
Notes: This field is required if archive location is To Be Determined, Unable to Archive, or No Archiving Intended.
Notes: Physical Location Organization, City and State are required, or a Location Description is required.
Discuss data back-up, disaster recovery/contingency planning, and off-site data storage relevant to the data collection
Data is backed up to cloud storage.
9. Additional Line Office or Staff Office Questions
Line and Staff Offices may extend this template by inserting additional questions in this section.