Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois
Unpublished Material
Digital Terrain Model (DTM) for Tazewell County, Illinois. 2011
raster digital data
http://www.isgs.illinois.edu
Recommended Publishing Citation:Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, 2002–2014, Illinois LiDAR county database: Illinois State Geological Survey
http://crystal.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/ (accessed September 18, 2014)
This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2011. The LiDAR derived DTM covers Tazwell County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of 4.87 centimeters RMSEz, horizontal accuracy of 0.3 meters and point spacing of 0.84 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.
These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science.
The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor.
none
20110405
unknown
20120212
unknown
ground condition
As needed
-89.920
-89.260
40.750
40.323
None
Light Detection and Ranging
LiDAR
Bare Earth
Point Cloud
Digital Elevation Model
DEM
Elevation
Surface Model
Digital Surface Model
DSM
Hillshade
None
US
Illinois Department of Transportation
Illinois
Tazwell County
None
2011
2012
ISGS information must be obtained directly from the ISGS or from an authorized distributor. Be aware that ISGS information obtained from an unauthorized third party may have been altered subsequent to original distribution, or may no longer be current. Any access to these data, Web sites, computer systems, electronic services, and electronic networks is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section.
Users should be aware that temporal changes may have occurred
since this data set was collected and that 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. The flow of the eastern shoreline maintains a consistent monotonic flow in relation to the western
shoreline. Sections of the western shoreline were collected primarily
in April of 2011. Whereas the eastern section of the shoreline was a combination
of April 2011 and December 2011 collection dates. There was approximately a
two foot fluctuation in the hydro elevation between the collection dates. The
hydro elevation was set at the April collection time period in order to maintain
monotonic flow of the river. There is a geodatabase layer to delineate these areas available upon request if needed.
ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies.
Aerometric, Inc., Illinois State Geological Survey, Illinois Department of Transportation
Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois
mailing and physical address
615 E. Peabody
Champaign
IL
61820
USA
217-333-4747
info@isgs.illinois.edu
Monday thru Friday, 8am - 5pm
217-785-0211
Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign
http://www.cam.illinois.edu/viii/VIII-1.1.htm
ISGS Terms of Use
http://www.isgs.illinois.edu
University of Illinois Web Privacy Notice
http://www.vpaa.uillinois.edu/policies/web_privacy.cfm
University Copyright Policy (stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4)
http://www.uillinois.edu/trustees/rules.cfm#sec34
Project data was collected as one project including all counties of Illinois District 4. LiDAR data was placed into a tile layout and later divided by county boundaries. Ground survey check points were collected on a county basis by Lin Engineering, Inc for use in vertical accuracy evaluation. In vertical accuracy assessments the ground survey check points of the various ground cover categories are compared to a TIN of the LiDAR points, differences are measured to establish an RMSE.
All data have had QAQC visual and statistical testing using observations performed to compare the derivative products (breaklines, classified LAS, DEM and DSM/DTM) as well as aerial photography to check for the logical consistency of the data.
0.3 meters
All data collected with the Optech Gemini were acquired at or below 1600 meters above
mean terrain (AMT) and have a horizontal accuracy of 0.30 meters (per manufacturers
system specifications), with a nominal point spacing of 1.0 meters.
4.9 cm RMSEz
overall
0.227 ft RMSEz
ested RMSE of the Classified Points 0.227 ft in open terrain as tested against the TIN.
0.445 ft FVA.
Tested FVA of 0.445 ft at the 95% confidence level in open terrain as tested against the TIN
0.476 ft
Tested 0.476 ft SVA at the 95th Percentile in the Hard Ground category against the TIN.
0.604 ft
Tested 0.604 ft SVA at the 95th Percentile in the Short Grass category against the TIN.
0.791 ft
Tested 0.791 ft SVA at the 95th Percentile in the Tall Grass category against the TIN.
0.966 ft
ested 0.966 ft SVA at the 95th Percentile in the Brush category against the TIN.
0.657 ft.
Tested 0.657 ft SVA at the 95th Percentile in the Woods category against the TIN.
The vertical accuracy of the data has a requirement to achieve a Fundamental Vertical Accuracy (FVA) of 1.19 ft at 95% confidence level based on an RSMEz x 1.960 in "open terrain" as defined by National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Further, the data requires a Consolidated Vertical Accuracy (CVA) of 1.19 ft at 95th Percentile and a target value for Supplemental Vertical Accuracy (SVA) of 1.19 ft at 95th Percentile.
The ground survey data included many points categorized as 'Cross Section'. These points were used in evaluation against the TIN. The results are included in graphs in the Vertical Accuracy Assessment Report.
0.705 ft.
Tested 0.705 ft CVA at the 95th Percentile in all ground categories against the TIN.
The LiDAR data was acquired using AeroMetric's or a vendor's twin engine fixed wing
aircraft equipped with a LiDAR system. The LiDAR systems include a differential GPS
unit and inertial measurement system to provide superior accuracy.
Acquisition parameters:
1. Flight Height - 1600 meters above mean terrain (AMT)
2. Swath Width - 40 degrees
3. Sidelap - 50%
4. Nominal Post Spacing - 1.0 meters
GPS and IMU processing parameters:
1. Maximum baseline length - Not greater than 100 kilometers.
2. Number of base stations during LiDAR collection - A minimum of 1.
3. Maximum positional RMS of trajectory during LiDAR collection - 0.10 meters
4. IMU processing monitored for consistency and smoothness - Yes.
Point Cloud Processing:
1. Horizontal Datum - North American_1983/HARN
2. Horizontal Coordinates - NAD 1983 HARN StatePlane Illinois West FIPS 1202 in
feet.
3. Vertical Datum - North American Vertical Datum of 1988
4. Geoid Model used to reduce satellite derived elevations to orthometric heights - NGS
Geoid09.
LiDAR Processing:
1. Point Cloud data is imported to TerraScan in a Microstation V8 (V) CAD environment
on a specified 2000 feet by 2000 feet tiling scheme.
2. Analyze the data for overall completeness and consistency. This is to ensure that there
are no voids in the data collection.
3. Inspect for calibration errors in the dataset using the TerraMatch software by sampling
the data collected across all flight lines and classifying the individual lines to ground. The
software will use the ground-classified lines to compute corrections (Heading, Pitch,
Roll, and Scale).
4. Orientation corrections (i.e. Calibration corrections) are then applied (if needed) to the
entire dataset.
5. Automatic ground classification is performed using algorithms with customized
parameters to best fit the project area. Several areas of varying relief and planimetric
features were inspected to verify the final ground surface.
6. AeroMetric, Inc. performed Quality Assurance and Quality Control (QA/QC) for this
project by comparing field observed points in 'open terrain' land cover category to lidar
data set points. TerraScan's Output Control Report (OCR) was used to compare the
QA/QC data to the LiDAR data. This routine searches the LiDAR dataset by X and Y
coordinates finding the closest LiDAR point and comparing the vertical (Z) values to the
known data collected in the field. Based on the QA/QC data, a bias adjustment was
determined, and the results were applied (if necessary) to the LiDAR data.
7. After the LiDAR data is finalized for vertical placement, a macro is run via TerraScan
to output a dataset generated on a per swath basis as part of the final deliverables. All
points of the swath are reclassified to class 0 during this step.
8. Each tile is reviewed for accuracy and consistency of the macro ground classification.
During this phase, MicroStation is used to generate line work representing water bodies
and rivers. Separate line work is also placed in instances where overpasses have blocked
enough valid ground returns or water gave too few ground returns to reasonably portray
the ground surface. A proprietary in-house software program is then run to drape the river
line work in a flowing fashion. Contours are generated on the river breaklines to review
monotonicity of the draped line work.
9. Once the automatic processing and the testing of LiDAR is complete, AeroMetric
meticulously reviews the generated bare-earth surface data to ensure that proper
classification was achieved as part of a Quality Control process. Point classification
follows the standard established by The American Society for Photogrammetry and
Remote Sensing (ASPRS) for LAS data:
Code 1 Processed, but unclassified
Code 2 Ground
Code 7 Noise
Code 9 Water
Code 10 Ignored Ground (Breakline proximity)
10. Final deliverables are generated and output to a client specified 2000 feet by 2000
feet tiling scheme.
11. On a per tile basis, data files and Triangulated Integrated Network (TIN) files are
generated by processing the finalized line work along with bare earth LiDAR points
though a Geopak macro. Subsequent files are reviewed for adherence and completeness
to the data and tile layout used during the creation process.
ISGS Secondary Processing:
1. Thorough QAQC check was completed to ensure and evaluate the quality of the data delivered and that all the specifications have been met in accordance to the contract and national specifications set for LiDAR data.
2. Through ArcGIS 10.1 the following steps were completed to created Terrain and hillshade products:
a. LAS to Mulitpoint conversion using 3D analyst tools.ASPRS Classifications were used below:
1-Unclassified
2-Ground
3-Low Vegetation
4-Medium Vegetation
5-High Vegetation
6-Building
8-Model Key Points
9-Water
b. Terrains are then created and pyramids are calculated.
c. Terrain to Raster tool was used in 3D Analyst. The parameters of data type float, natural neighbors method, sampling distance is cell size and the point spaceing value from the LiDAR data.
d. Hillshades are created from the above rasters with a Z value of 2.
3. These derivatives were checked again visually for errors. If any errors were perceived corrections were coordinated with vendor and products were updated with corrections.
4. When product was finalized then metadata was completed before making data available.
20121126
Unknown
Raster
coordinate pair
0.001
0.001
survey feet
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.25722210088
NAD_1983_StatePlane_Illinois_West_FIPS_1202_Feet
North American Vertical Datum of 1988
0.01
survey feet
Explicit elevation coordinate included with horizontal coordinates
20140925
Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois
mailing and physical address
615 East Peabody Drive
Champaign
IL
61820
US
217-333-4747
isgs@isgs.illinois.edu
Monday through Friday 8:00 AM to 5:00 PM (Central Time)
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
The access constraints as stated for the data apply also to the metadata. Refer to the Access Constraints section of the Identification Information section.
The use constraints as stated for the data apply also to the metadata. Refer to the Use Constraints section of the Identification Information section.
20130301
12273000
FGDC CSDGM Metadata
FALSE
file://X:\counties\tazewell\tazewell_dtm
Local Area Network
tazewell_dtm
002
2353999.999969
2549999.999969
1329999.999854
1489998.999854
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Illinois_West_FIPS_1202_Feet
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32
FALSE
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continuous
floating point
-3.4028235e+038
150000000
5000
1.0
FGDC
20181119
11130600
20181119
11130600
Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois
mailing and physical address
615 East Peabody Drive
Champaign
IL
61820
USA
217-244-2414
isgs@isgs.illinois.edu
Refer to the Legal Notices of Terms and Conditions of the University of Illinois Web Privacy Policy (there is a link in the Cross References section) for policy statements regarding the following:
Disclaimer of Liability
Disclaimer of Warranties and Accuracy of Data
Disclaimer of Endorsement
Disclaimer for External Links
Disclaimer of Duty to Continue Provision of Data
Security
Choice of Law
By obtaining these data you agree to the provisions of the University of Illinois Web Privacy Policy, regardless of the manner in which the information was obtained.
other
no compression applied
http://www.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/
http://www.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/
Windows 7
CD-ROM
none
no fees
The data are intended for use with GIS software. The ISGS uses ESRI ArcGIS software, however, ESRI formats can be imported into many different GIS software packages. It is expected that customers who obtain these data have the technical expertise to use GIS software. The ISGS does not provide software support of any kind.
GRID
Raster
ISGS
Raster Grid Values
Raster Grid Values
ISGS
These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science.
The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2011. The LiDAR derived DTM covers Tazwell County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of 4.87 centimeters RMSEz, horizontal accuracy of 0.3 meters and point spacing of 0.84 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.</SPAN></P></DIV></DIV></DIV>
Aerometric, Inc., Illinois State Geological Survey, Illinois Department of Transportation
IL_Tazewell_DTM_2012
Recommended Publishing Citation:
Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, 2002–2016, Illinois Height Modernization Program (ILHMP): LiDAR data: Illinois State Geological Survey http://clearinghouse.isgs.illinois.edu/ (accessed March 30, 2016)
Light Detection and Ranging
LiDAR
Bare Earth
Point Cloud
Digital Elevation Model
DEM
Elevation
Surface Model
Digital Surface Model
DSM
Hillshade
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Users should be aware that temporal changes may have occurred since this data set was collected and that 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. The flow of the eastern shoreline maintains a consistent monotonic flow in relation to the western shoreline. Sections of the western shoreline were collected primarily in April of 2011. Whereas the eastern section of the shoreline was a combination of April 2011 and December 2011 collection dates. There was approximately a two foot fluctuation in the hydro elevation between the collection dates. The hydro elevation was set at the April collection time period in order to maintain monotonic flow of the river. There is a geodatabase layer to delineate these areas available upon request if needed. ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies.</SPAN></P></DIV></DIV></DIV>
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333
1
-89.960754
-89.251941
40.757814
40.315233
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AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
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Raster Dataset
dataset
EPSG
8.9.3(9.3.0.0)
2
1
0
2353999.999969 1329999.999854
2353999.999969 1489998.999854
2549999.999969 1489998.999854
2549999.999969 1329999.999854
2451999.999969 1409999.499854
56000
3.500000
45714
3.500000
tazewell_dtm
848.898193
421.781586
32
20181119