Quantum Spatial
2016
Digital Terrain Model (DTM) Pike County, Illinois. 2015
Lidar point cloud
Geographic Extent: Pike and Scott Counties in western Illinois, covering approximately 1,100 total square miles. Dataset Description: The Pike and Scott Counties 2015 LiDAR project called for the planning, acquisition, processing and derivative products of LIDAR data to be collected at an aggregate nominal pulse spacing (NPS) of 0.5 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Illinois West Zone, US survey feet and vertical datum of NAVD1988 (Geoid 12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 7,998 individual 2,000-foot x 2,000-foot tiles. Corresponding 2-foot intensity image and 2-foot bare earth DEM tiles were created with the same 2,000-foot x 2,000-foot tile schema. Tiles names follow the US National Grid naming schema. Continuous breaklines were produced in Esri shapefile format. A mosaic of the 2-foot bare earth raster DEM tiles was also produced in Esri grid format. Ground Conditions: LiDAR was collected in winter of 2015 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, Quantum Spatial established 42 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the project area. The accuracy of the data was checked with 58 NVA points and 47 VVA points (105 total QC checkpoints).
Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEMs. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2-foot cell size. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2-foot cell size.
USGS-NGP Base Specification v1.2
Optech Orion H300
5
0.49
4.22
0.49
4.22
1400
130
29
68.0
275
4
0.41
1064
1
0.25
724.13
30
g2012bu0.bin
0.196
0.076
58
0.077
58
0.144
47
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
Man-Made Structures
7
Low Noise
9
In-land Water
10
Ignored Ground
17
Bridge Decks
18
High Noise
USGS Contract: G10PC00026 Task Order Number: G15PD01036
CONTRACTOR: Quantum Spatial
Lidar data were acquired and calibrated by Quantum Spatial.
All follow-on processing was completed by the prime contractor.
20150426
20150514
ground condition
None planned
-91.3782122879594
-90.2963442570292
39.8498271859884
39.3895295689346
1955999.99275266
2259999.99283377
1159999.9829334
991999.982889957
None
Elevation data
Lidar
Hydrology
None
United States
US
Illinois
IL
Pike County
Scott County
No restrictions apply to this 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.
Quantum Spatial, Data Acquisition Department
Joel Burroughs
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
jburroughs@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
MicroStation Version 8; TerraScan Version 15; TerraModeler Version 15; GeoCue Version 2014.1.21.1; Esri ArcGIS 10.3; Global Mapper 16; Leica Cloud Pro 1.2; Windows 10 Operating System
\\PSIHQ_NX3200\Projects\Projects\26869_Pike_Scott_County_USGS 897 GB and \\matrix\matrix\LIDAR\26869_NRCS_Pike_Scott_Counties 8.95 TB
Data cover the entire area specified for this project.
These raw 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 Nonvegetated Vertical Accuracy specifications.
The specifications require that only raw Nonvegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The raw NVA was tested with 58 independent survey points distributed throughout the project area and located in open terrain. These checkpoints were not used in the calibration or post-processing of the lidar point cloud data. Specifications for this project require that the raw NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level.
The specifications require that Nonvegetated Vertical Accuracy (NVA) be computed for DEM files. The NVA was tested with 58 independent survey points distributed throughout the project area and located in open terrain. These checkpoints were not used in the calibration or post-processing of the lidar point cloud data. Specifications for this project require that the NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level.
The specifications require that Vegetated Vertical Accuracy (VVA) be computed for DEM files. The VVA was tested with 47 independent survey points distributed throughout the project area and located in vegetated terrain. These checkpoints were not used in the calibration or post-processing of the lidar point cloud data. Specifications for this project require that the VVA be 29.4 cm or better at the 95th percentile.
0.076
The raw NVA was tested using 58 independent survey points located in open terrain. The surveyed checkpoints were distributed throughout the project area and surveyed using GNSS procedures and methodologies that provide reliable and consistent results to meet the project's accuracy requirements. Please see the "Survey Accuracy Requirements" and "Field Methodology" sections in the Survey Report for more information. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the unclassified lidar surface were then compared to the elevation values of the surveyed control. The RMSEz was computed to be 0.039 meters (0.126 feet) and AccuracyZ to be 0.076 meters (0.248 feet). This meets the required AccuracyZ value of 19.6 cm raw NVA at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.
0.077
The NVA was tested using 58 independent survey points located in open terrain. The surveyed checkpoints were distributed throughout the project area and surveyed using GNSS procedures and methodologies that provide reliable and consistent results to meet the project's accuracy requirements. Please see the "Survey Accuracy Requirements" and "Field Methodology" sections in the Survey Report for more information. Elevations from the DEM surface were measured for the x,y location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSEz was computed to be 0.039 meters (0.128 feet) and AccuracyZ to be 0.077 meters (0.252 feet). This meets the required AccuracyZ value of 19.6 cm NVA at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.
0.144
The VVA was tested using 47 independent survey points located in vegetated terrain. The surveyed checkpoints were distributed throughout the project area and surveyed using GNSS procedures and methodologies that provide reliable and consistent results to meet the project's accuracy requirements. Please see the "Survey Accuracy Requirements" and "Field Methodology" sections in the Survey Report for more information. Elevations from the DEM surface were measured for the x,y location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The VVA was computed to be 0.144 meters (0.474 feet). This meets the required value of 29.4 cm VVA at 95th percentile level using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.
Quantum Spatial
20160210
Survey Report of LiDAR Ground Control and Quality Control Points: Pike and Scott Counties, IL
Lexington, KY
Quantum Spatial
external hard drive
20151114
20160113
ground condition
PikeScottIL_2015_LiDAR_gnd_ctrl
This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data.
Quantum Spatial
2016
Lidar RAW Data for Pike and Scott Counties, IL QL2 2015
Lidar digital data
Lexington, KY
Quantum Spatial
external hard drive
20151122
20151203
ground condition
PikeScottIL_2015_LiDAR_Data
This data source was used to populate the lidar point cloud data.
Quantum Spatial
20160210
Survey Report of LiDAR Ground Control and Quality Control Points: Pike and Scott Counties, IL
Lexington, KY
Quantum Spatial
external hard drive
20151114
20160113
ground condition
PikeScottIL_2015_LiDAR_gnd_ctrl
This data source was used to QC and vertically adjust the lidar point cloud data.
Lidar Pre-Processing:
Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to acceptable levels. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed checkpoints. Swath overage points were identified and tagged within each swath file.
PikeScottIL_2015_LiDAR_gnd_ctrl
2016
LiDAR datasets with USGS classifications
Quantum Spatial
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Lidar Post-Processing:
The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area.
All classification tags are stored in the original swath files.
After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project area were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the client.
PikeScottIL_2015_LiDAR_gnd_ctrl
PikeScottIL_2015_LiDAR_Data
2016
PikeScottIL_2015_LiDAR_Data
Quantum Spatial
Paul Bishop
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
pbishop@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Classified LAS Processing:
The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization.
All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All bridge decks were classified to Class 17.
Upon completion of the bare earth clean-up, automated classification was completed on the dataset to complete final requested classification of the dataset. These classes include: Class 3 - Low vegetation (any default points found within 0.5 - 5' of the final bare earth surface); Class 4 - Medium vegetation (any default points found within 5 - 20' of the final bare earth surface); Class 5 - High vegetation (any default points found above 20' of the final bare earth surface); Class 6 - Man-made features (any default points that meet the criteria for a building, structure inside of a water feature, etc.).
All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was identified using the Overlap Flag, per LAS 1.4 specifications.
All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
PikeScottIL_2015_LiDAR_qc_ctrl
PikeScottIL_2015_LiDAR_Data
2016
Classified LAS
Quantum Spatial
Paul Bishop
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
pbishop@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Hydro-Flattened Breakline Creation: Class 2 LiDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers with a 100 foot nominal width and Inland Ponds and Lakes of 2 acres or greater surface area.
Elevation values were assigned to all Inland Ponds and Lakes, Inland Pond and Lake Islands, Inland Stream and River Islands, using TerraModeler functionality.
Elevation values were assigned to all Inland streams and rivers using Quantum Spatial proprietary software.
All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10).
The breakline files were then translated to Esri shapefile format using Esri conversion tools.
PikeScottIL_2015_LiDAR_qc_ctrl
PikeScottIL_2015_LiDAR_Data
2016
Hydro-Flattened Breaklines
Quantum Spatial
Paul Bishop
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
pbishop@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Hydro-Flattened Bare-Earth Raster DEM Creation: Class 2 LiDAR in conjunction with the hydro breaklines were used to create a 2-foot Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine .IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.
PikeScottIL_2015_LiDAR_qc_ctrl
PikeScottIL_2015_LiDAR_Data
2016
Hydro-Flattened Bare-Earth Raster DEMs
Quantum Spatial
Paul Bishop
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
pbishop@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Intensity Image Creation:
GeoCue software was used to create the deliverable Intensity Images with a 2-foot cell size. All overlap classes were ignored during this process. This helps to ensure a more aesthetically pleasing image.
PikeScottIL_2015_LiDAR_qc_ctrl
PikeScottIL_2015_LiDAR_Data
2016
Intensity Images
Quantum Spatial
Paul Bishop
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
pbishop@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Hydro-Flattened Bare-Earth DEM Mosaic Creation: After final surface acceptance, a mosaic of the 2-foot bare-earth raster DEM files was created using automated scripting routines within ArcMap, an Esri Grid format mosaic was created. The surface was reviewed for completeness to ensure all tiles were included in the mosaic.
PikeScottIL_2015_LiDAR_qc_ctrl
PikeScottIL_2015_LiDAR_Data
2016
Hydro-Flattened Bare-Earth Raster DEM Mosaic
Quantum Spatial
Paul Bishop
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
pbishop@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Point
Point
coordinate pair
0.01
0.01
survey feet
North American Datum of 1983 (2011)
Geodetic Reference System 80
6378137.0
298.257222101
North American Vertical Datum of 1988 (Geoid 12B)
0.01
feet
Explicit elevation coordinate included with horizontal coordinates
20160727
Quantum Spatial
Sarah Zibart
mailing and physical
523 Wellington Way
Lexington
KY
40503
USA
859-277-8700
859-277-8901
szibart@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
None.
None.
None.
Unclassified
NONE
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333
IL_Pike_DSM_2015
2017-03-29T00:00:00
2017-03-29T00:00:00
2017-03-29T00:00:00
Recommended Publishing Citation:
USGS, NRCS, Illinois Height Modernization Program (ILHMP): LiDAR data: Illinois State Geological Survey http://clearinghouse.isgs.illinois.edu/ (accessed March 29, 2017)
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
-91.377773
-90.563090
39.850299
39.390168
none
2015-11-22T00:00:00
2015-12-03T00:00:00
Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEMs. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2-foot cell size. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2-foot cell size.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Geographic Extent: Pike and Scott Counties in western Illinois, covering approximately 1,100 total square miles. Dataset Description: The Pike and Scott Counties 2015 LiDAR project called for the planning, acquisition, processing and derivative products of LIDAR data to be collected at an aggregate nominal pulse spacing (NPS) of 0.5 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Illinois West Zone, US survey feet and vertical datum of NAVD1988 (Geoid 12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 7,998 individual 2,000-foot x 2,000-foot tiles. Corresponding 2-foot intensity image and 2-foot bare earth DEM tiles were created with the same 2,000-foot x 2,000-foot tile schema. Tiles names follow the US National Grid naming schema. Continuous breaklines were produced in Esri shapefile format. A mosaic of the 2-foot bare earth raster DEM tiles was also produced in Esri grid format. Ground Conditions: LiDAR was collected in winter of 2015 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, Quantum Spatial established 42 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the project area. The accuracy of the data was checked with 58 NVA points and 47 VVA points (105 total QC checkpoints).</SPAN></P></DIV></DIV></DIV>
USGS, NRCS, Quantum Spatial
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>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>
pike_dsm
file://X:\counties\pike\SPW\pike_dsm
Local Area Network
002
1956523.825839
2184553.883241
994005.855979
1159588.171518
1
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US
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32
FALSE
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1
GRID
TRUE
continuous
floating point
-3.4028235e+038
ProjectRaster X:\counties\pike\pike_dsm X:\counties\pike\SPW\pike_dsm PROJCS['NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US',GEOGCS['GCS_NAD_1983_2011',DATUM['D_NAD_1983_2011',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',2296583.333333333],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-90.16666666666667],PARAMETER['Scale_Factor',0.9999411764705882],PARAMETER['Latitude_Of_Origin',36.66666666666666],UNIT['Foot_US',0.3048006096012192]] NEAREST "0.999995866356999 0.999995866357" # # PROJCS['GRS_1980_Transverse_Mercator',GEOGCS['GCS_GRS_1980',DATUM['D_GRS_1980',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',2296583.333333333],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-90.16666666666667],PARAMETER['Scale_Factor',0.9999411764705882],PARAMETER['Latitude_Of_Origin',36.66666666666666],UNIT['Foot_US',0.3048006096012192]],VERTCS['Unknown VCS',VDATUM['Unknown'],PARAMETER['Vertical_Shift',0.0],PARAMETER['Direction',1.0],UNIT['Foot_US',0.3048006096012192]]
20190306
00000700
20190306
00000700
150000000
5000
1.0
FGDC
Raster Dataset
dataset
EPSG
8.9.3(10.3.1)
2
1
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1956523.825839 994005.855979
1956523.825839 1159588.171518
2184553.883241 1159588.171518
2184553.883241 994005.855979
2070538.854540 1076797.013749
228031
0.999996
165583
0.999996
none
False
False
False
False
False
pike_dsm
1086.850952
170.838486
32
20190306
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)
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 10.14 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:
Class 1: unclassified Class 2: ground
Class 3: low vegetation
Class 4: medium vegetation
Class 5: high vegetation
Class 6: buildings
Class 7: low noise
Class 9: water
Class 10: proximity to breaklines
Class 17: bridge decks
Class 18: high noise
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.
2017-03-29T00:00:00
complete
1. The delivered breaklines do not have a vertical datum assigned. 2. A small number of the small lakes and ponds, and small streams that do not have breaklines on them are classified as ground.
3. There are several breaklines where the elevation difference between the breakline and the water surface elevation that is over the threshold.
4. There are several instances where portions of buildings have been classified as ground. This also includes bridges and overpasses, which an alarming number have been left classified as ground, even when there are breakline on either side denoting it as a bridge.
15. 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.
6. There is an occasional issue with points that represent vegetation along the Mississippi and Illinois Rivers that are located between breaklines. In the terms that these points that represent vegetation, have been left in the unclassified class, class 1. This error does not occur for the entire stretch of these rivers but occurs intermittently. Though additional errors on smaller rivers and lakes were not found in the spot checks, there is a possibility that they exist.
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