20160419
11371500
1.0
FALSE
Contours
2393820.883631
2653854.558117
1215945.510017
1547545.770371
1
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Colorado_North_FIPS_0501_Feet
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20230206
10042200
20230206
10042200
1200
1200
Thuy Patton
Colorado Water Conservation Board
Floodplain Mapping Coordinator
303-866-3441 x3230
1313 Sherman St., Rm. 718
Denver
Co
80203
thuy.patton@state.co.us
20230206
ArcGIS Metadata
1.0
withheld
Enterprise Geodatabase Feature Class
Contours
2016-04-18
Merrick & Co.
Greenwood Village, CO
Merrick & Co
vector digital data
Two-foot interval contours were created from the ground LIDAR points and breaklines. A 2.5-foot grid with a two pass filter was applied to smooth the contours.
Merrick & Company (Merrick) to provide Amec with LiDAR terrain mapping to the Colorado Water Conservation Board (CWCB) for portions of Routt and Moffat Counties, Colorado situated along the Yampa River Valley.
Thuy Patton
Colorado Water Conservation Board
Floodplain Mapping Coordinator
303-866-3441 x3230
1313 Sherman St., Rm. 718
Denver
Co
80203
thuy.patton@state.co.us
Moffat Co
Colorado
2015
DEM
Breaklines
LIDAR
Contours
DEM
2015
Breaklines
Moffat Co
LIDAR
Contours
Colorado
Unknown
Unknown
Esri ArcGIS 13.0.0.36056
-107.690161
-106.847928
40.098128
40.828444
ground condition
2015-10-14
2015-10-28
1
-107.690161
-106.734140
40.829691
39.905873
Calibrations of the LiDAR flightline data are performed; this process is known as boresighting. The flightlines are compared to evaluate both their relative and absolute accuracies.
The dataset was reviewed to ensure completeness and accuracy.
Verification of attribute accuracy for LiDAR data involves the use of filtering techniques. Auto-filtering uses algorithms to reclassify data in the point cloud. Hand-filtering involves the analysis of a technician working in a graphic environment to reclassify the erroneous points that may remain in the LiDAR point cloud after auto-filter.
This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 1.25ft RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 2.16 at a 95% confidence level.
Vertical elevation will meet or exceed 0.328ft RMSE (Accuracyz = 0.64ft at the 95% confidence level)
Forty-five NVA ground control points were used to determine the 0.111 feet RMSEz value
0.111 feet
Using MARS software two-foot interval contour files were exported by tile in ESRI shape file format. A 2.5-foot gridded surface with a two pass filter was applied to smooth the contours. The shape files were merged into a single projectwide contours feature class and topology rules were applied (checked for dangles, overlaps and intersections).
2016-04-20T09:36:28
Doug Jacoby
Merrick & Co
Project manager
303-353-3903
5970 Greenwood Plaza Blvd.
Greenwood Village
Co
80111
doug.jacoby@merrick.com
Merrick will establish a total (minimum) of one hundred twenty (120) LiDAR checkpoints, which will be used to validate the accuracy of the LiDAR point cloud. Of the 120 checkpoints, sixty-seven (67) checkpoints will categorized as Non-vegetated Vertical Accuracy [NVA] checkpoints, and fifty-three (53) will be of the Vegetated Vertical Accuracy [VVA] checkpoint variety. Theses represent the minimum standards as outlined in TM11-B4 / ASPRS Positional Accuracy Standards for Digital Geospatial Data (EDITION 1, VERSION 1.0. - NOVEMBER, 2014). The NVA and VVA checkpoints will be spatially distributed across the project area.
1200
Ground Control
Ground Control
2015-01-01
Merrick & Co
Merrick & Co
Greenwood Village, Co
spreadsheet
Ground Control
Ground Control
ground condition
2015-01-01
ASPRS LAS 1.4
1200
LIDAR
LIDAR
2016-04-15
Merrick & Co
Merrick & Co
Greenwood Village, Co
LAS
LIDAR
LIDAR
ground condition
2015-10-14
2015-10-28
0
Contours
Contours_2ft
Merrick & Co
Feature Class
0
Ftype
Ftype
Merrick & Co
Ftype
Ftype
String
25
0
0
Elev
Elevation
Merrick & Co
Elevation
Elev
Integer
4
10
0
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Shape
Geometry
8
0
0
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
EPSG
5.3(9.0.0)
Simple
FALSE
0
TRUE
FALSE