2017 - 2018 IGIC/NRCS/USGS Lidar: Indiana Statewide - Phase 1 (East)

Product: Processed, classified lidar point cloud tiles in LAS 1.4 format.

Geographic Extent: Approximately 18,270 square miles across the following counties in northeastern Indiana: Adams, Allen, Bartholomew, Blackford, Brown, Cass, Clark, Dearborn, Decatur, DeKalb, Delaware, Elkhart, Fayette, Floyd, Franklin, Fulton, Grant, Hancock, Harrison, Henry, Howard, Huntington, Jackson, Jay, Jefferson, Jennings, Johnson, Kosciusko, Lagrange, Madison, Marshall, Miami, Noble, Ohio, Randolph, Ripley, Rush, Scott, Shelby, St Joseph, Steuben, Switzerland, Tipton, Union, Wabash, Washington, Wells, Whitley.

Dataset Description: The Indiana Statewide Lidar 2017 B17 East task called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (HARN) State Plane Indiana East Zone (FIPS 1301), US Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed classified LAS 1.4 files formatted to 20,373 individual 5,000-foot x 5,000-foot tiles. Tiles were named according to the Indiana Statewide Ortho-Lidar tile index.

Ground Conditions: Lidar was collected from March 5, 2017 through April 21, 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, Woolpert established 266 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 726 independent accuracy checkpoints (415 NVA points and 311 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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.

This project will support the state of Indiana and the Natural Resources Conservation Service (NRCS) in Indiana.

USGS Contract No. G16PC00022 Task Order No. G17PD00269 CONTRACTOR: Woolpert.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v1.2",

"ldrsens" : "Leica ALS80",

"ldrmaxnr" : "infinite",

"ldrnps" : "0.70",

"ldrdens" : "2.3",

"ldranps" : "0.70",

"ldradens" : "2.3",

"ldrfltht" : "2377",

"ldrfltsp" : "150",

"ldrscana" : "40",

"ldrscanr" : "35.5",

"ldrpulsr" : "346",

"ldrpulsd" : "5",

"ldrpulsw" : "2.5",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.20",

"ldrswatw" : "1731",

"ldrswato" : "25",

"ldrgeoid" : "GEOID12B"

},

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v1.2",

"ldrsens" : "Optech Galaxy",

"ldrmaxnr" : "8",

"ldrnps" : "0.70",

"ldrdens" : "2.3",

"ldranps" : "0.70",

"ldradens" : "2.3",

"ldrfltht" : "1846",

"ldrfltsp" : "135",

"ldrscana" : "45",

"ldrscanr" : "49.01",

"ldrpulsr" : "250",

"ldrpulsd" : "4000",

"ldrpulsw" : "0.3875",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1529",

"ldrswato" : "30",

"ldrgeoid" : "GEOID12B"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0",

"clsnva" : "0",

"clsnvan" : "0",

"clsvva" : "0",

"clsvvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed but not classified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

}

}}

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

Data is available online for bulk and custom 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.

Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.3; ArcCatalog 10.3; TerraScan ver. 17; TerraModeler ver. 17; Geocue 2014.1.21; LP360 2015.1.

From Woolpert:

0.38 m at 95% Confidence Level

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

From Woolpert:

NVA = 3.7 cm RMSE

From USGS:

NVA = 3.8 cm RMSE (Based on 415 checkpoints)

VVA = 16.63 cm at 95th Percentile (Based on 310 checkpoints)

The lidar data is visually inspected for completeness to ensure that are no void areas or missing data.

Data covers the entire area specified for this project. This dataset was validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.

Data is backed up to tape and to cloud storage.

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tile (EPT) files 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.