Illinois Twelve Counties LiDAR Processing, Carroll County, Illinois, Digital Elevation Model USGS Contract G10PC0025, Task order G13PD00753

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Quantum Spatial, Inc (formerly AeroMetric, Inc.)
Publication_Date: 20140516
Title:: Illinois Twelve Counties LiDAR Processing, Carroll County, Illinois, Digital Elevation Model USGS Contract G10PC0025, Task order G13PD00753
Geospatial_Data_Presentation_Form: remote-sensing image

Description:

Abstract:: This LiDAR data is within Illinois Department of Transportation District 2 and includes Carroll County, Illinois. The data is updated from its original format to LAS version 1.2.
The LiDAR data was collected in March 2009 as "Carroll County, Illinois LiDAR Acquisition" - ILDOT Project No. P-30-007-08, PTB 146, Item41. Data was acquired by Quantum Spatial as project 1090716 with an Optech ALTM Gemini sensor equipped with an inertial measuring unit (IMU) and GPS receiver. The acquisition was to produce first return ASCII, bare earth ASCII, DAT and TIN files. Abstract Addendum, USGS National Geospatial Technical Operations Center (NGTOC), data edited July 2015: Data may have been modified from the original, delivered data by the NGTOC to correct issues such as breakline enforcement and hydro-flattening of water bodies, pits and spikes, and to remove edge tinning and other anomalies. End Abstract Addendum.
Purpose:: The LiDAR data is updated to be more compatible within the guidelines of the National Digital Elevation Program. (NDEP)
Initial acquisition of the Carroll County, Illinois LiDAR Acquisition project provided high accuracy bare-earth processed LiDAR data suitable for FEMA National Flood Insurance Program (NFIP) for the approximately 465 square miles of the county.
The project consists of acquisition, post-processing, and classification of LiDAR data. The data was acquired with a nominal horizontal spacing of 1.0 meters based on the Illinois State Plane Coordinate System, West Zone, related to the North American Datum of 1983 (NSRS2007). Vertical accuracy was to achieve a Fundamental Vertical Accuracy (FVA) at a 95% confidence level of less than 1.19 ft in the "Open Terrain" land cover category.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20090320

Currentness_Reference: ground condition

Status:

Progress: Complete
Maintenance_and_Update_Frequency: unknown

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -90.317
East_Bounding_Coordinate: -88.685
North_Bounding_Coordinate: 42.200
South_Bounding_Coordinate: 41.928

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: Elevation data

Theme_Keyword: Light Detection and Ranging

Theme_Keyword:

LIDAR

Theme_Keyword: Bare Earth

Theme_Keyword: Point Cloud

Theme_Keyword: Breakline

Theme_Keyword: DEM

Theme_Keyword: LAS

Place:

Place_Keyword_Thesaurus: None
Place_Keyword: US
Place_Keyword: Illinois
Place_Keyword: Mt. Carroll
Place_Keyword: Carroll County

Access_Constraints: None

Use_Constraints:

None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgment of the Illinois Department of Transportation would be appreciated for products derived from these data.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Quantum Spatial, Inc
Contact_Person: LiDAR Manager

Contact_Position: LiDAR Manager

Contact_Address:

Address_Type: mailing and physical address
Address: 4020 Technology Parkway
City: Sheboygan
State_or_Province: WI
Postal_Code: 53083
Country: USA

Contact_Voice_Telephone: 1-920-457-3631

Contact_Facsimile_Telephone: 1-920-457-0410

Contact_Electronic_Mail_Address: cguy@quantumspatial.com

Hours_of_Service: 8:00 am to 5:00 pm Central Standard Time

Data_Set_Credit: Quantum Spatial, Inc

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:: The vertical accuracy assessment is conducted by comparing ground survey check point z values to processed LiDAR data z values by horizontal proximity. Differences in z values are calculated to express an RMSEz value.
Vertical accuracy statement is based on the area of moderate to flat terrain. The accuracy of the LiDAR data as tested met the vertical accuracy of 1.19 foot or less standards, however, derived products may be less accurate in areas of dense vegetation due to a lesser number of points defining the bare-earth in these areas.

Logical_Consistency_Report: None

Completeness_Report: Complete

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:: All these data products were acquired at 1500 meters above mean terrain (AMT) and have a horizontal accuracy of 0.27 meters, with a nominal point spacing of 1.0 meters.

Vertical_Positional_Accuracy:

Vertical_Positional_Accuracy_Report:

The Fundamental Vertical Accuracy (FVA) of the TIN was to achieve 1.19ft at a 95% confidence level in the "Open Terrain" land cover category according to ASPRS Guidelines to produce contours of two foot intervals.
The Consolidated Vertical Accuracy (CVA) of the TIN was to achieve 1.19ft at a 95% confidence level according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR for all land cover categories. Five land cover categories were evaluated. Land Cover categories are the following: Open Terrain / Hard Surface, Short Grass, Tall Grass / crops, Brush lands / low trees, Forested / woods areas covered by trees.
Supplemental Vertical Accuracy (SVA) of the TIN at a 95% confidence level are derived by the ASPRS Guidelines. Vertical Accuracy Report results for LiDAR data based on the 95th percentile error in all of the individual land cover categories follow: