Aerial Services, Inc.
20180906
Digital Surface Model (DSM) Lidar data, LaSalle County, Illinois. 2017
Lidar point cloud
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 8241 individual 2000 foot x 2000 foot tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: LaSalle County, Illinois, covering approximately 1,148 square miles. LaSalle County is one area of interest (AOI) from a lidar survey that was collected over two (2) areas of interest in Illinois identified as LaSalle and Expansion Counties. LaSalle and Expansion Counties cover a total of approximately 2,563 square miles. Dataset Description: LaSalle county, Illinois 2017 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2; Quality Level 2+. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Illinois East (FIPS 1201), US Survey Feet and vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 8241 individual 2000 foot x 2000 foot tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2000 foot x 2000 foot schema. Ground Conditions: Lidar was collected in November 2017, due to an isolated anomaly found in the the lidar data one re-flight was flown in April 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, GRW Aerial Surveys, Inc. established a total of 53 ground control points of which 50 were used to calibrate the lidar to known ground locations established throughout the LaSalle and Expansion Counties project areas. An additional 157 independent accuracy checkpoints, 89 in Bare Earth and Urban landcovers (89 NVA points), 68 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (68 VVA points), were used to assess the vertical accuracy of the data of the entire project area. These checkpoints were not used to calibrate or post process the data.
To acquire QL2+ lidar detailing surface elevation data, vegetation, and building rooftops for use to support the 3DEP mission, the FEMA Risk MAP program, NRCS agricultural conservation practice planning in support of the Illinois Nutrient Loss Reduction Strategy and the Mississippi River Basin Initiative, NPS studies of the Illinois and Michigan Canal National Heritage Corridor and USACE hydrologic studies of the Fox River Basin. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines, and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
USGS Contract No. G17PD00317 CONTRACTOR: Aerial Services, Inc. Lidar data was acquired and calibrated by the prime contractor. SUBCONTRACTOR: GRW Aerial Surveys, Inc. preformed hydro collection for northern 2/3 section of LaSalle 2+ project area from bare earth surface supplied by prime. GRW Aerial Surveys, Inc. then undertook manual building cleanup for the central 1/3 of the project from classified LAS supplied by prime. SUBCONTRACTOR: Survey And Mapping, LLC (SAM) manually edited bare earth surface, preformed hydro collection, flattening, and produced bare earth DEMs for the southcentral 1/3 of the project area. All follow-on manual editing and processing was completed by the prime contractor.
USGS-NGP Base Lidar Specification v1.2
Leica ALS70-HP Airborne LiDAR Scanner
4
0.5
4
0.5
4
1100
150
50
47
240
4
0.25
1064
1
0.22
1025
30
National Geodetic Survey (NGS) Geoid12B
0.12
0.094
89
0.103
89
0.272
68
1.4
6
Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.
Swath "overage" points were identified in these files using the standard LAS overlap bit
16
1
Processed, but Unclassified
2
Bare Earth Ground
3
Low Vegetation
4
Medium Vegetation
5
High Vegetation
6
Building
7
Low Noise
9
Water
10
Ignored Ground
17
Bridge Decks
18
High Noise
20171119
20180412
Ground Condition
None Planned
-89.16707
-88.58539
41.63226
40.92485
755641
914787
1808958
1551644
None
Model
LAS Point Cloud
Classified LAS
Swath LAS
Remote Sensing
Elevation Data
Lidar
Digital Elevation Model
Breaklines
None
Illinois
Lasalle County
No restrictions apply to these data.
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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
Aerial Services, Inc.
mailing and physical
6315 Chancellor Dr.
Cedar Falls
IA
50613
USA
(319)277-0436
Waypoint's Inertial Explorer version 8.60; Leica's CloudPro version 1.2.4 ; MicroSatation Connect version 10.0.0.25; TerraSolid TerraMatch version018.001,TerraModel version 018.002, TerraScan version 018.008; Windows 10 Operating \\server\directory path\*.las 1.06TB
Data covers the entire area specified for this project.
These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Breaklines have been inspected for completeness and correct geographic placement. Digital Elevation Models derived from the point cloud provide complete coverage over the project area, without voids.
The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the Bare Earth and Urban land cover classes. The NVA was tested with 89 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.
0.094
Tested 0.094 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 89 independent checkpoints located in Bare Earth and Urban land cover classes.
GRW Aerial Surveys, Inc.
20170420
Ground Control for IL_LaSalle County QL2+ Lidar_2017 project
vector digital data and tabular digital data
Lexington, Kentucky
GRW Aerial Survey, Inc., Survey Department
None
None
50
online
20170420
ground condition
LaSalle_lidar_gnd_ctrl
This data source was used (along with airborne GPS/IMU data) to georeference the lidar point cloud data.
The calibration for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and calibration process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for calibration . 2) Technicians first used commercial software to calculate initial calibration adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for calibration angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the calibration angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual calibration adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSDz within individual swaths and less than or equal to 10 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the calibrated flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.
LaSalle_lidar_gnd_ctrl
20170905
GRW Aerial Surveys, Inc.
Mitch Long
mailing and physical
801 Corporate Drive
Lexington
Kentucky
40503
USA
859.223.3999
www.grwinc.com
Point
Point
39,042,761,133
coordinate pair
0.01
0.01
US Survey Feet
North American Datum of 1983 2011
Geodetic Reference System 1980
6378137
298.25722101
North American Vertical Datum of 1988
0.01
US survey feet
Explicit elevation coordinate included with horizontal coordinates
20180906
20180906
Aerial Services, Inc.
mailing and physical
6315 Chancellor Dr.
Cedar Falls
IA
50613
USA
(319)277-0436
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
None
None
None
None
None
None
None
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333
IL_LaSalle_DSM_2017
2019-03-04T00:00:00
external
7d3845269907ca36af81fc7cbb653758
Natural Resources Conservation Service (NRCS)
2118 W. Park Court
Champaign
Illinois
61821
US
217-353-6600
Monday thru Friday 8-5
True
Natural Resources Conservation Service (NRCS)
1
-89.169920
-88.584725
41.632983
40.924106
none
2017-11-01T00:00:00
2017-11-30T00:00:00
To acquire QL2+ lidar detailing surface elevation data, vegetation, and building rooftops for use to support the 3DEP mission, the FEMA Risk MAP program, NRCS agricultural conservation practice planning in support of the Illinois Nutrient Loss Reduction Strategy and the Mississippi River Basin Initiative, NPS studies of the Illinois and Michigan Canal National Heritage Corridor and USACE hydrologic studies of the Fox River Basin. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines, and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Product: These lidar data are processed Classified LAS 1.4 files, formatted to 8241 individual 2000 foot x 2000 foot tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: LaSalle County, Illinois, covering approximately 1,148 square miles. LaSalle County is one area of interest (AOI) from a lidar survey that was collected over two (2) areas of interest in Illinois identified as LaSalle and Expansion Counties. LaSalle and Expansion Counties cover a total of approximately 2,563 square miles. Dataset Description: LaSalle county, Illinois 2017 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.5 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2; Quality Level 2+. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Illinois East (FIPS 1201), US Survey Feet and vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 8241 individual 2000 foot x 2000 foot tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2000 foot x 2000 foot schema. Ground Conditions: Lidar was collected in November 2017, due to an isolated anomaly found in the the lidar data one re-flight was flown in April 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, GRW Aerial Surveys, Inc. established a total of 53 ground control points of which 50 were used to calibrate the lidar to known ground locations established throughout the LaSalle and Expansion Counties project areas. An additional 157 independent accuracy checkpoints, 89 in Bare Earth and Urban landcovers (89 NVA points), 68 in tall Grass/tall weeds/crops, Brush lands/short trees, Forested categories (68 VVA points), were used to assess the vertical accuracy of the data of the entire project area. These checkpoints were not used to calibrate or post process the data.</SPAN></P></DIV></DIV></DIV>
Natural Resources Conservation Service (NRCS), United States Geological Survey (USGS), Illinois Department of Natural Resources - Office of Water Resources (IDNR-OWR),
Model
LAS Point Cloud
Classified LAS
Swath LAS
Remote Sensing
Elevation Data
Lidar
Digital Elevation Model
Breaklines
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.</SPAN></P></DIV></DIV></DIV>
lasalle_dsm
file://X:\counties\lasalle\lasalle_dsm
Local Area Network
002
755542.462817
914782.462817
1551648.803228
1808954.303228
1
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Illinois_East_FIPS_1201_Ft_US
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continuous
floating point
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835162.462817 1680301.553228
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Lasalle_dsm
1373.168213
287.286133
32
na
lidar
False
False
False
False
False
20190304
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external
ca49c109c6233814e6634505bf23ddb3
Illinois State Geological Survey
615 E Peabody Dr.
Champaign
IL
61821
info@isgs.edu
US
217-333-4747
Monday thru Friday 8 am to 5 pm
True
Illinois State Geological Survey
1. Tile #78701605, #78901603, #78901605, #79101603, #79301603, #79501601, #79501603, and #84301675 have duplicate points
2. The LAS files do not have a vertical datum assigned.
3. The LAS files do not have a vertical unit assigned.
4. There are several instances where structures, vegetation, etc. have been misclassified as ground.
As seen on tile #90701723 where a collapsed building has been misclassified as ground
5. As seen on tile #84501705 where erroneous points in the middle of a house (possible related to solar panels) have been misclassified as ground
6. There is a sporadic issue of points in one of the advanced classifications, i.e. points that represent structures, trees, etc., being misclassified into one of the other classes.