52418
2015 MiSAIL Lidar: Emmet County, MI
mi2015_emmet_m8512_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2015
This metadata record describes the Classified Point Cloud (LAS) for the 2015 Michigan LiDAR project covering approximately 494 square miles, covering Emmet County.
The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_MI_13Co_Emmett_2015_LAS_2017/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV).
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 are available for custom download at the link provided in the URL section of this metadata record.
To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.0, QL2. 24.5 cm FVA.
This is the Spatial Reference Information for the data downloaded by NOAA OCM: Project Projection, Datums and Units. Projection - State Plane Michigan Central. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12a) for converting ellipsoidal heights to orthometric heights. Units - intl feet
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "USGS Base Specification 1.0, QL2 meeting 24.5cm FVA",
"ldrsens" : "Leica ALS80",
"ldrmaxnr" : "4",
"ldrnps" : "0.65",
"ldrdens" : "1.67",
"ldradens" : "2.2",
"ldranps" : "0.71",
"ldrfltht" : "2250",
"ldrfltsp" : "135",
"ldrscana" : "32",
"ldrscanr" : "64",
"ldrpulsr" : "167",
"ldrpulsd" : "10",
"ldrpulsw" : "3",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.3",
"ldrswatw" : "1222",
"ldrswato" : "30",
"ldrcrs" : "NAD_1983_2011_State_Plane_Michigan_Central_FIPS_2112_Ft_Intl",
"ldrgeoid" : "NGS Geoid12a"
},
"ldraccur" : {
"ldrchacc" : "1.0",
"rawfva" : "0.080",
"clsfva" : "0.080",
"clscva" : "0.139",
"clssvas" : {
"svalctyp" : "LowVeg",
"svavalue" : "0.133"
},
"clssvas" : {
"svalctyp" : "MedVeg",
"svavalue" : "0.143"
},
"clssvas" : {
"svalctyp" : "HighVeg",
"svavalue" : "0.179"
}
},
"lasinfo" : {
"lasver" : "1.2",
"lasprf" : "1",
"laswheld" : "Withheld (ignore) points were identified in these files using class 10.",
"lasolap" : "Swath "overage" points were identified in these files by classifying to class 11.",
"lasintr" : "10",
"lasclass" : {
"clascode" : "1",
"clasitem" : "Unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Bare-earth"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "All noise"
},
"lasclass" : {
"clascode" : "9",
"clasitem" : "Water"
},
"lasclass" : {
"clascode" : "10",
"clasitem" : "Ignored Ground (Breakline Proximity)"
},
"lasclass" : {
"clascode" : "11",
"clasitem" : "Withheld (overlap)"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
ALS80
Theme
Bare Earth
Theme
First Return
Theme
Intensity return
Theme
Overlap points
Theme
Water points
Theme
beach
Theme
erosion
Theme
ground points
Theme
mapping
Theme
point cloud
Office for Coastal Management
Charleston
SC
Data Set
Elevation
Unknown
point digital data (LAS)
USGS Base Specification 1.0, QL2 meeting 24.5cm FVA
The State of Michigan Geographic Information Systems digital data have been tested and their documentation carefully reviewed. However, the State of Michigan and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the State of Michigan or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Michigan or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty.
Any conclusions drawn from the analysis of this information are not the responsibility of Sanborn, the State of Michigan, USGS, NOAA, the Office for Coastal Management or its partners.
State of Michigan (SOM)
Data Steward
2018
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2018
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Metadata Contact
2018
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2018
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Ground Condition
-85.120864
-84.729138
45.789573
45.269605
Range
2015-05-01
2015-05-05
Unclassified
Data is available online for custom or bulk downloads.
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.
2018
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8512
Customized Download
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.
Zip
2018
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8512/index.html
Bulk Download
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8512/supplemental/mi2015_emmet_m8512.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/
NOAA's Office for Coastal Management (OCM) website
Online Resource
HTML
Information on the NOAA Office for Coastal Management (OCM)
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8512/supplemental/mi2015_emmet_m8512_lidar_report.pdf
Dataset report
Online Resource
PDF
Link to data set report.
Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850
Horizontal positional accuracy for Emmet LiDAR is dependent upon the quality of the GPS/INS solution, sensor calibration and ground conditions at the time of data capture. The standard system results for horizontal accuracy meet or exceed the project specified 1.0 meter RMSE. This value is computed by comparing ground control to a DEM derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area.
For the DEM data derived from the classified point cloud, the FVA, SVA, and CVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within Emmet County. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the block area. Specifications for this project require that the FVA be 24.5 cm or better @ 95 percent confidence level. The RMSE values are as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.
FVA
0.041m RMSE, or 0.080FVA @ 95 percent confidence level in open terrain using RMSEz x 1.9600
The FVA was tested using 20 independent survey check points located in flat terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 20 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.
CVA
0.076m RMSE, or 0.139m CVA @ 95th Percentile using all FVA and SVA class checkpoints (CVA)
The CVA was tested using 81 independent survey check points located in various terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 81 independent check points contained all FVA and SVA class points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.
SVA
0.077m RMSE, or 0.133m SVA @ 95th Percentile
The SVA was tested using 20 independent survey check points located in low vegetation terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 20 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.
0.093m RMSE, or 0.143m SVA @ 95th Percentile
The SVA was tested using 20 independent survey check points located in medium vegetation terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 20 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.
0.083m RMSE, or 0.179m SVA @ 95th Percentile
The SVA was tested using 21 independent survey check points located in high vegetation terrain types within Area 3. The survey checkpoints were distributed throughout the block area. The 21 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control.
LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Anomalous laser returns that occur infrequently are removed entirely from the data set. Once clean bare earth points are established, DEMs are created using bare earth points and hydro features. The DEM surface is then compared to the survey checkpoints. These accuracies must pass the Fundamental Vertical Accuracy, Supplemental Vertical Accuracy, and Consolidated Vertical Accuracy specifications.
LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control. Control was collected in 5 areas. Area 3 includes Emmet and Mackinac. Accuracy results are reported for area 3.
Classified lidar
Discrete
2015
1200
The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.2 or v1.3, Point Record Format 1
Ground control
2010-01-01
Discrete
2015
Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted.
LiDAR Data
Discrete
2015
Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project.
Post processed GPS/INS
Discrete
2015
1200
Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system
Post processed lidar
Discrete
2015
1200
The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud.
Tile Definition
Discrete
2015
1200
The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 2500ft by 2500ft in dimension.
1
At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets.
2015-01-01T00:00:00
2
New LiDAR data is captured for the project area using a Leica ALS80 LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane.
2015-01-01T00:00:00
3
The airborne GPS data is post-processed in Inertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey.
2015-01-01T00:00:00
4
The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud.
2015-01-01T00:00:00
5
The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 11: withheld.
2015-01-01T00:00:00
6
The classified lidar data is exported as 2500 X 2500 foot tiles in the LAS format with any or all classes required to produce derivative products.
2015-01-01T00:00:00
7
The NOAA Office for Coastal Management (OCM) downloaded 2345 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_MI_13Co_Emmett_2015_LAS_2017/. The files contained elevation and intensity measurements for Emmet County, Michigan. The data were in Michigan State Plane Central coordinates and NAVD88 (Geoid12A) elevations in Int feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Noise, 9 - Water, 10 - Ignored Ground, 11- Overlap. The NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 12 (Overlap).
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors.
2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.
3. Points classified as 11 were reclassified to 12 using las2las.
4. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12A model, to convert from Michigan State Plane Central coordinates to geographic coordinates, to convert from feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.
2018-03-29T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
gov.noaa.nmfs.inport:52418
Rebecca Mataosky
2018-04-20T14:34:04
SysAdmin InPortAdmin
2023-10-17T16:12:17
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16