Data Management Plan
GUID: gov.noaa.nmfs.inport:72698 | 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
This dataset is 1 ppsm LiDAR point cloud data and derivative models of Kankakee County, Illinois. Kankakee County is approximately 677 square miles (1753 square kilometers) in north eastern Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.7 meter.
Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.0 and Federal Emergency Management Agency Procedure Memorandum 61.
This dataset consists of LiDAR LAS swath files and tiled LAS files. Tiled LAS files contain LiDAR point information which has been calibrated, controlled, and classified. Tiled LAS and derived data models are named according to the coordinates at the south west corner of the tile.
Quantum Spatial Project No: 1140310.01
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.
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) ingested references to the USGS Entwine Point Tile (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.
Process Steps:
- 2014-06-24 00:00:00 - Ground based survey points are collected to be compared as check points with airborne data points. Measurements are recorded by Quantum Spatial for use in establishment of the LiDAR point set to ground elevations (indexing). Additional ground survey points are made in representative ground cover categories to provide for vertical accuracy assessment of LiDAR data or derivative models.
- 2014-04-19 00:00:00 - Airborne LiDAR collection survey is conducted using fixed wing aircraft equipped with a LiDAR scanning system following specifications of the flight plan. Acquisition flights are planned to assure full coverage of the project area in consideration of local surface terrains. Flight plan is accessed by the aircraft navigation system to achieve predetermined flight specifications. The LiDAR sensor is calibrated prior to each mission. GPS and IMU data are collected during LiDAR acquisition to aid in LiDAR swath calibration.
- 2014-04-19 00:00:00 - Airborne GPS and IMU data are merged to develop a Single Best Estimate Trajectory for each swath. LiDAR data are calibrated using previous best parameters for this instrument and aircraft. Relative calibration is evaluated using plane-matching analysis and parameter corrections are derived. This is repeated iteratively until residual errors between overlapping swaths, across all project lifts, is reduced to acceptable levels. Data are block adjusted to surveyed control points. Raw FVA is checked using surveyed ground checkpoints. The raw points are applied to a 2500 x 2500 foot grid. The unclassified points are output and named as per a client supplied 2500 foot grid tile.
- 2014-04-19 00:00:00 - Points in the calibrated swaths are classified using analysis routines and proprietary software. The routines analyze information on all points to establish appropriate Class designations. Classified LiDAR is inspected on a per tile basis for local classification, manual editing, and peer-based QC checks. The bare earth surface is manually reviewed to ensure correct classification of Class 2 (Ground) points. After the bare-earth surface is finalized, it is used to guide hydro-breaklines generation through heads-up digitization. All overlap data is processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data is classified to Class 17 (Overlap Default) and Class 18 (Overlap Ground). These classes are created through automated processes only and are not verified for classification accuracy. Due to software limitations within TerraScan, these classes are used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS. All data was manually reviewed and any remaining artifacts removed using controls and tools in TerraScan and TerraModeler. Global Mapper is used as a final check of the bare earth dataset. GeoCue creates the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. All classification tags are stored in the original swath files. Classifications follow ASPRS guidelines: Non-ground (Class 1), Ground (Class 2), Low Vegetation (Class 3). Medium Vegetation (Class 4), High Vegetation (Class 5), Buildings (Class 6), Noise/Low Points (Class 7), Model Keypoints (Class 8), Water (Class 9), Ignored Ground/Breakline proximity (Class 10) After completion of classification and final QC approval, the FVA, SVAs, and CVA for the project are calculated. Vertical accuracy is determined by comparison of elevation of the ground survey check points to elevations of DEMs derived from the LiDAR Ground points. Differences are calculated to establish a RSME, FVA, CVA and SVA.
- 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 GEOID12A).
- 2024-05-28 00:00:00 - The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) that was 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_IL_5County_KankakeeCo_2014_LAS_2016/ept.json
(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.
None
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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/IL_5_County_2014_15/IL_5County_KankakeeCo_2014/LAZ/
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.