2015 NRCS-MDEQ Lidar: Southeast Mississippi QL2
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:49827 | Updated: August 9, 2022 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2015 NRCS-MDEQ Lidar: Southeast Mississippi QL2, https://www.fisheries.noaa.gov/inport/item/49827.
Full Citation Examples
This report contains a comprehensive outline of the Mississippi QL2 and Tupelo QL3 Lidar Processing task order for the United States Geological Survey (USGS). This task is issued under USGS Contract No. G10PC00057, Task Order No. G14PD01046. This task order requires lidar data to be acquired over approximately 4385 square miles. The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.7 meter. The NPS assessment is made against single swath, first return data located within the geometrically usable center portion (typically ~90%) of each swath.
Distribution Information
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Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
-
Simple download of data files.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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. These data depict the heights at the time of the survey and are only accurate for that time.
Controlled Theme Keywords
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
-90.326075° W,
-88.425228° E,
31.894581° N,
30.997494° S
2015-01-31 - 2015-03-03
Item Identification
Title: | 2015 NRCS-MDEQ Lidar: Southeast Mississippi QL2 |
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Short Name: | ms2015_nrcs_mdeq_southeast_m4907_metadata |
Status: | Completed |
Publication Date: | 2016-10-17 |
Abstract: |
This report contains a comprehensive outline of the Mississippi QL2 and Tupelo QL3 Lidar Processing task order for the United States Geological Survey (USGS). This task is issued under USGS Contract No. G10PC00057, Task Order No. G14PD01046. This task order requires lidar data to be acquired over approximately 4385 square miles. The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.7 meter. The NPS assessment is made against single swath, first return data located within the geometrically usable center portion (typically ~90%) of each swath. |
Purpose: |
This task order also requests the processing of previously collected QL3 data near Tupelo, Mississippi. The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 1.0 meter. The NPS assessment is made against single swath, first return data located within the geometrically usable center portion (typically ~90%) of each swath. |
Notes: |
10471 |
Supplemental Information: |
A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4907/supplemental/ms2015_nrcs_mdeq_southeast_m4907.kmz Lidar report for this data set is available here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4907/supplemental/ms2015_nrcs_mdeq_southeast_m4907_lidarreport.pdf |
Keywords
Theme Keywords
Thesaurus | Keyword |
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ISO 19115 Topic Category |
elevation
|
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Maintenance Frequency: | As Needed |
Data Presentation Form: | las |
Entity Attribute Overview: |
Lidar points in LAZ format (Classes 1,2,7,9,10,17,18) |
Entity Attribute Detail Citation: |
none |
Distribution Liability: |
Any conclusions drawn from the analysis of this information are not the responsibility of USDA-NRCS, MDEQ, Wooolpert, NOAA, the Office for Coastal Management or its partners. |
Support Roles
Data Steward
Date Effective From: | 2016-10-17 |
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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: | 2016-10-17 |
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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 |
Metadata Contact
Date Effective From: | 2016-10-17 |
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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: | 2016-10-17 |
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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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -90.326075 | |
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E° Bound: | -88.425228 | |
N° Bound: | 31.894581 | |
S° Bound: | 30.997494 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2015-01-31 |
End: | 2015-03-03 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4907; |
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. These data depict the heights at the time of the survey and are only accurate for that time. |
Distribution Information
Distribution 1
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4907 |
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Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
Distribution 2
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4907/index.html |
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Distributor: | |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer |
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URL Type: |
Online Resource
|
URL 2
URL: | https://coast.noaa.gov |
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URL Type: |
Online Resource
|
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4907/supplemental/ms2015_nrcs_mdeq_southeast_m4907.kmz |
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Name: | Browse Graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | kmz |
Description: |
This graphic shows the coverage of the 2015 lidar QL2 project in the Southeast of Mississippi. |
Activity Log
Activity Log 1
Activity Date/Time: | 2016-12-01 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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Description: |
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-03-13 |
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Description: |
Partial upload to move data access links to Distribution Info. |
Data Quality
Horizontal Positional Accuracy: |
None reported; Quantitative Value: 100 meters, Test that produced the value: Explicity horizontal accuracy is not reported in the accuracy report provided. Assumptions of 1 meter. |
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Vertical Positional Accuracy: |
The vertical accuracy statistics were calculated by comparison of the lidar bare earth points to the ground surveyed QA/QC points. Mississippi QL2 Lidar was processed and delivered in NAD1983(2011) UTM16, NAVD88 Geoid12A meters. Data deliverables were reprojected and also delivered in NAD1983(2011) UTM15, NAVD88 Geoid12A meters. It should be noted that accuracy analysis was reported for the UTM16 data.; Quantitative Value: 0.150 meters, Test that produced the value: LAS Swath Fundamental Vertical Accuracy (FVA) Tested 0.150 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) x 1.96000 Tested against the TIN using independent check points.; Quantitative Value: 0.162 meters, Test that produced the value: Bare-Earth DEM Fundamental Vertical Accuracy (FVA) Tested 0.162 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) x 1.96000 Tested against the DEM using independent check points.; Quantitative Value: 0.232 meters, Test that produced the value: Bare Earth/Open Terrain Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.232 meters supplemental vertical accuracy at the 95th percentile in Bare Earth/Open Terrain. Tested against the DEM.; Quantitative Value: 0.114 meters, Test that produced the value: Urban Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.114 meters supplemental vertical accuracy at the 95th percentile in Urban. Tested against the DEM. ; Quantitative Value: 0.238 meters, Test that produced the value: Tall Weeds/Crops Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.238 meters supplemental vertical accuracy at the 95th percentile in Tall Weeds/Crops. Tested against the DEM. ; Quantitative Value: 0.249 meters, Test that produced the value: Brush Lands and Trees Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.249 meters supplemental vertical accuracy at the 95th percentile in Brush Lands and Trees. Tested against the DEM.; Quantitative Value: 0.237 meters, Test that produced the value: Forested and Fully Grown Land Cover Classification Supplemental Vertical Accuracy (SVA) Tested 0.237 meters supplemental vertical accuracy at the 95th percentile in Forested and Fully Grown. Tested against the DEM.; Quantitative Value: 0.232 meters, Test that produced the value: Consolidated Vertical Accuracy (CVA) Tested 0.232 meters consolidated vertical accuracy at the 95th percentile level, derived according to ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data. Tested against the DEM. Based on the 95th percentile error in all land cover categories combined. |
Completeness Report: |
The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines. |
Conceptual Consistency: |
All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery. |
Lineage
Process Steps
Process Step 1
Description: |
USGS Contract No. G10PC00057. Task Order No. G12PD000125. Woolpert Order No. 073054 |
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Process Step 2
Description: |
USGS Contract No. G10PC00057, Task Order No. G14PD01046 |
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Process Date/Time: | 2015-01-31 00:00:00 |
Process Step 3
Description: |
The ALS70 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles. |
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Process Date/Time: | 2012-01-01 00:00:00 |
Process Step 4
Description: |
Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. |
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Process Date/Time: | 2015-02-03 00:00:00 |
Process Step 5
Description: |
When the sensor calibration, data acquisition, and GPS processing phases were complete, the formal data reduction processes by Woolpert lidar specialists included: - Processed individual flight lines to derive a raw "Point Cloud" LAS file. Matched overlapping flight lines, generated statistics for evaluation comparisons, and made the necessary adjustments to remove any residual systematic error. - Calibrated LAS files were imported into the task order tiles and initially filtered to create a ground and non-ground class. Then additional classes were filtered as necessary to meet client specified classes. - Once all project data was imported and classified, survey ground control data was imported and calculated for an accuracy assessment. As a QC measure, Woolpert has developed a routine to generate accuracy statistical reports by comparisons against the TIN and the DEM using surveyed ground control of higher accuracy. The lidar is adjusted accordingly to meet or exceed the vertical accuracy requirements. - The lidar tiles were reviewed using a series of proprietary QA/QC procedures to ensure it fulfills the task order requirements. A portion of this requires a manual step to ensure anomalies have been removed from the ground class. - The lidar LAS files are classified into the Default (Class 1), Ground (Class 2), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Overlap Default (Class 17) and Overlap Ground (Class 18) classifications. - FGDC Compliant metadata was developed for the task order in .xml format for the final data products. - The horizontal datum used for the task order was referenced to UTM16N North American Datum of 1983 (2011) and UTM15N North American Datum of 1983 (2011). The vertical datum used for the task order was referenced to NAVD 1988, meters, GEOID12A. Coordinate positions were specified in units of meters. |
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Process Date/Time: | 2015-12-01 00:00:00 |
Process Step 6
Description: |
The NOAA Office for Coastal Management (coast) received the LAS files in from MARIS (Mississippi Automated Resource Information System) via an FTP site. The data was received in UTM zones 15 and 16 horizontal coordinates in meters with vertical coordinates referenced to NAVD88 in meters. The Digital Coast performed the following processing for data storage and Digital Coast provisioning purposes: 1. The LAS files had all overlap and duplicate tiles removed. This was due to the separation of tiles into counties which created a number of duplicate tiles altogether then converted to LAZ format. 2. UTM 15 LAZ tiles were transformed to UTM 16 coordinates in order to remove overlap between the UTM zones. 3. The vertical coordinates were reprojected to ellipsoidal heights using Geoid12a and horizontal coordinates were reprojected to geographic decimal degrees. |
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Process Date/Time: | 2016-09-20 00:00:00 |
Catalog Details
Catalog Item ID: | 49827 |
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GUID: | gov.noaa.nmfs.inport:49827 |
Metadata Record Created By: | Anne Ball |
Metadata Record Created: | 2017-11-15 15:22+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2022-08-09 17:11+0000 |
Metadata Record Published: | 2022-03-16 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-03-16 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-03-16 |