Bifrost LiDAR Contours 25cm Interval

File Geodatabase Feature Class

 

Tags
Canada, Bifrost, terrain, digital elevation, lidar, contours, DEM, surface elevation, topography

Summary
The purpose of this project is to collect and deliver topographic elevation point data derived from multiple return light detection and ranging (lidar) measurements.


Description

The project area is 1139 tiles covering approximately 2829 square Kilometers in Southern Manitoba. The project design of the lidar data acquisition was developed to support a nominal post spacing of 1.0 meter. ATLIS Geomatics acquired 95 flights lines in 6 lifts from August 1, 2011 through August 25, 2011. Lidar data collection was performed with a Piper Navajo aircraft, utilizing a Optech Gemini sensor, collecting multiple return x, y, and z data as well as intensity data. Lidar data is remotely sensed high-resolution elevation data collected by an airborne collection platform.

Credits
ATLIS Geomatics Inc. 1333 Dugald Road Winnipeg, MB R2J0H3 204.775.1211

Access and use limitations

ArcGIS Metadata 

Resource Identification 

Citation
Title Bifrost LiDAR Contours 25cm Interval


Presentation format  digital map


Responsible party
Individual's name Maurice Bouvier
Organization's name Manitoba Agriculture, Food and Rural Initiatives (MAFRI)
Contact's role  point of contact


Contact information
Phone
Voice (204) 792-5496

Address
Delivery point 915 - 401 York Avenue
City Winnipeg
Administrative area Manitoba
Postal code R3C 0P8
Country Canada

Themes or categories of the resource  elevation


Tags for searching  Canada, Bifrost, terrain, digital elevation, lidar, contours, DEM, surface elevation, topography


Place keywords Canada, Bifrost
Thesaurus
Title Geographic Names Information System


Theme keywords terrain, digital elevation, lidar, contours, DEM, surface elevation, topography
Thesaurus
Title Keywords


Keywords 002
Thesaurus

Abstract (Description)
The project area is 1139 tiles covering approximately 2829 square Kilometers in Southern Manitoba. The project design of the lidar data acquisition was developed to support a nominal post spacing of 1.0 meter. ATLIS Geomatics acquired 95 flights lines in 6 lifts from August 1, 2011 through August 25, 2011. Lidar data collection was performed with a Piper Navajo aircraft, utilizing a Optech Gemini sensor, collecting multiple return x, y, and z data as well as intensity data. Lidar data is remotely sensed high-resolution elevation data collected by an airborne collection platform.
Purpose (Summary)
The purpose of this project is to collect and deliver topographic elevation point data derived from multiple return light detection and ranging (lidar) measurements.
Dataset languages English (CANADA)
Dataset character set  utf8 - 8 bit UCS Transfer Format


Status  completed
Resource maintenance
Update frequency  not planned


Spatial representation type  vector


*Processing environment Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.2.3200


Other extent information
Extent description
publication date

Geographic extent
Bounding rectangle
*Extent type  Extent used for searching
*Extent contains the resource Yes

Temporal extent
Beginning date 2011-08-01
Ending date 2011-08-25

Other extent information
Geographic extent
Bounding rectangle
*Extent type  Extent used for searching
*West longitude -98.006818
*East longitude -96.831887
*North latitude 51.321208
*South latitude 50.739344
*Extent contains the resource Yes

Supplemental information
ATLIS made an initial delivery of las files that were in the horizontal coordinate system of NAD83 UTM14 and the vertical system was NAVD88 Geoid009. These las tiles contained calibrated, unclassified returns in the las 1.2 format.
Credits
ATLIS Geomatics Inc. 1333 Dugald Road Winnipeg, MB R2J0H3 204.775.1211

Spatial Representation 

Reference System 

Data Quality 

Scope of quality information
Resource level  dataset


Lineage
Process step
When the process occurred 2011-09-15
Description 1. Lidar, GPS, and IMU data was processed together using Applanix POSPac processing software. 2. Lidar data was transformed to the specified project coordinate system when imported into GeoCue software. 3. The lidar data set for each flight was checked for project area coverage and lidar post spacing was checked to ensure it meets project specifications. 4. The lidar collected at the project area was processed using Terrasolid products to correct the rotational, atmospheric, and vertical elevation differences that are inherent to lidar data. 5. Each lift was compared with all neighbors that contained overlapping areas to ensure calibration consistent across the AOI. 6. By utilizing the ground survey data collected at the project area, the lidar data was vertically biased to the ground. 7. Comparisons between the biased lidar data and ground survey data within the project area were evaluated and a final RMSE value was generated to ensure the data meets project specifications.


Process contact
Organization's name ATLIS Geomatics
Contact's role  point of contact


Contact information
Phone
Voice 204-775-1211

Address
Delivery point 1333 Dugald Road
City Winnipeg
Administrative area Manitoba
Postal code R2J 0H3
Country Canada

Process step
When the process occurred 2012-08-30
Description Split the raster DEM into four tiles. Used the Contour tool to create 25 centimeter contours from each raster surface.


Process contact
Individual's name Tanya Dixon
Organization's name Manitoba Conservation and Water Stewardship
Contact's position GIS Specialist
Contact's role  distributor


Contact information
Phone
Voice 204-945-2586
Fax 204-945-4232

Address
Delivery point 1007 Century Street
City Winnipeg
Administrative area Manitoba
Postal code R3H 0W4
Country Canada
e-mail addressTanya.Dixon@gov.mb.ca

Source data
Source citation
Title Ground Control Survey
Alternate titles  internal network


Other citation details Ground control was collected by ATLIS Geomatics.


Data quality report - Quantitative attribute accuracy
Measure description The following methods are used to assure lidar accuracy. 1. Use of IMU and ground control network utilizing GPS techniques. 2. Use of airborne GPS in conjunction with the acquisition of lidar.


Evaluation method Compliance with the accuracy standard was ensured by the collection of GPS ground control during the acquisition of aerial lidar and the establishment of a GPS base station operation airport. The following checks were performed. 1. The ground control and airborne GPS data stream were validated through a fully analytical boresight adjustment. 2. The Lidar elevation data were checked against the project control. 3. Lidar elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal).


Data quality report - Absolute external positional accuracy
Measure description VERTICAL POSITIONAL ACCURACY REPORT: Vertical Accuracy RMSE(z) 11 cm
Quantitative test results
Value 0.011
Units
Symbol m


Properties
Unique identifier

Evaluation method Once all lifts are completed with Boresight adjustment individually, technician shall check and correct the vertical mis-alignment of all flight lines and also the matching between data and ground truth. This process includes calculating the zbias value for each flight line so that all flight lines are aligned vertically and the entire data set match to the ground control points within the project specified accuracy range. The technician will run a final vertical accuracy check against the control after the z correction. The result will be analyzed against the project specified accuracy to make sure it meets the requirement. 22 control points were measured with a resulting 0.011m RMSE(z).


Data quality report - Absolute external positional accuracy
Measure description HORIZONTAL POSITIONAL ACCURACY REPORT: The minimum expected horizontal accuracy was tested during the boresight process to meet or exceed the National Standard for Spatial Data Accuracy (NSSDA). Horizontal accuracy is 75 centimeter RMSE or better.
Quantitative test results
Value 0.0
Units
Symbol m


Properties
Unique identifier

Evaluation method Horizontal checks of lidar data are extremely difficult and costly. The quality of this datasets horizontal accuarcy can be inferred based on the very low RMSE in the vertical.</


Distribution Information 

Metadata Details 

ESRI Metadata and Item Properties 

ESRI Spatial Information 

ESRI Raster 

ESRI Feature Class 

ESRI Fields and Subtypes 

ESRI Thumbnails and Enclosures 

ESRI Geoprocessing History 

FGDC Metadata 

Spatial Data Organization 

Raster Object Information
Raster Object Type Pixel
Row Count 31500
Column Count 41250
Vertical Count 1

Spatial Reference 

Horizontal Coordinate System Definition
Planar
Planar Coordinate Information
Planar Coordinate Encoding Method row and column
Coordinate Representation
Abscissa Resolution 2.000000
Ordinate Resolution 2.000000


Entities and Attributes