Red River Basin Mapping Initiative 2008-2010

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: International Water Institute
Publication_Date: 20100524
Title: Red River Basin Mapping Initiative 2008-2010
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: International Water Institute, Fargo ND
Publisher: RRBMI Red River Basin Mapping Initiative
Online_Linkage: <http://www.internationalwaterinstitute.org/>
Description:
Abstract:
The Red River Basin Mapping Initiative was developed by the International Water Institute to acquire a highly accurate digital elevation model (DEM) for the Red River of the North Basin (RRB) south of the U.S./Canada border using Light Detection and Ranging (LiDAR). The need for accurate elevation data in the RRB has been established by the International Joint Commission (IJC 2000), the International Flood Mitigation Initiative (IFMI 2000), and the US Army Corps of Engineers (USACE 2004) following the devastating flood of 1997. Highly accurate elevation data are essential to improving disaster preparedness, protecting existing infrastructure, planning flood and drought damage mitigation projects, enhancing agricultural production, and strengthening decision-making capacity at all levels of government.
Fugro Horizons Inc in cooperation with North West Geomatics, and Fugro EarthData acquired LiDAR with Leica sensor ALS50-II MPiA for the US part of the Red River Basin. The Red River Basin covers ND, MN, SD and flows into Canada. The US part of the Red River of the North Basin encompasses 40,733 sq miles. The LiDAR acquisition (leaf off conditions) occurred between spring 2008 and spring 2010..
LiDAR sensor settings included acquisition at 8,000' above mean terrain (AMT), 45 degree field of view, 6.626ft swath width, maximum along track spacing (occurs at FOV edge) of 2.56m in overlap areas, maximum cross track spacing (occurs at Nadir) 2.16 meter, average post spacing of 1.35m, point density (average) of 0.55 points per square meter, and area/point (average) of 1.82 m^2. This sensor was also equipped with IPAS inertial measuring unit (IMU) and a dual frequency airborne GPS receiver.
Color film (0.5m ortho photography) was acquired along the mainstem river corridor between April 18th to May 20th 2008 and May 10th to May 17th 2009 at a flight height of 17,500' AMT  resulting in a photo scale of 1:2917. The photography was obtained using a Zeiss RMK Top 15 camera with FMC mounted in a gyro-stabilized mount. Aerotriangulation resulted in a RMSE-X of 1.202 ft, RMSE-Y of 0.896 ft, and RMSE-Z of 0.828 ft and accuracy supported 0.5m ortho photography.
LiDAR deliverables are in UTM zone 14 coordinate system NAD83(CORS96) NAVD88 Geod03 meters tiled 2,000m x 2,000m with an XY naming convention. *** BareEarth - Contains bare earth class 2, keypoints class 8, and red river class 9. LAS files have a leading "B" identifier *** First_returns - Contains LiDAR first return LAS files with a leading "F" identifier *** Flight Logs and jpgs *** Grids_ascii - 1m Arc Grid created from integer grids with a leading "A" identifier *** Grids_integer - 1m Arc Grid, z in centimeters created from Grids_ascii with a leading "g" identifier *** Hybrid - Hybrid 1m pixel B/W tiffs with georeferencing created from LiDAR intensity and Raw LiDAR/hillshade, leading "H" identifier *** Metadata - Contains metadata file(s) *** Processing_Report - Includes RMSE's and acquisition details *** Raw - Raw LiDAR corrected to ground LAS files with a leading "R" identifier, LAS files include intensity data and return. Raw data contain bare earth class 2, buildings class 6, keypoints class 8, red river class 9, and overlap class 12 *** Red River Film Aerotriangulation Report *** Survey Reports - Surveyor field notes and pictures of control points.
Purpose:
The Red River Basin Mapping Initiative was initiated to create a highly accurate digital elevation model and associated LiDAR data products to enhance natural resources decision-making in the Red River of the North basin.
Supplemental_Information:
INTERNATIONAL WATER INSTITUTE MISSION AND OBJECTIVES: To provide a forum for collaborative research and communication relative to flood damage reduction and natural resource protection via basin universities, private industry, government agencies, and non-government organizations.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times: April 2008 – Spring 2010
 
Currentness_Reference:
Acquisition_Dates for each block:

LiDAR Block A - 4-19-08 to 5-2-08
LiDAR Block B - 4-18-08 to 4-19-08
LiDAR Block C - 4-21-08 to 5-16-08
LiDAR Block D- 5-3-08 to 5-18-08, 5-11-09 to 5-15-09
LiDAR Block E - 5-3-08 to 5-14-08, 11-21-08, 5-21-09 to 5-23-09
LiDAR Block F - 5-15-08 to 5-18-08, 11-21-08 to 11-25-08, 5-23-09 to 5-27-09
LiDAR Block G - 4-29-08 to 5-20-08
LiDAR Block H - 4-29-08 to 5-18-08
LiDAR Block I - 4-25-09 to 5-30-09
LiDAR Block J - 4-25-09 to 5-17-09
LiDAR Block K - 4-21-09 to 5-30-09
LiDAR Block L - 4-21-09 to 4-23-09
LiDAR Block M - 5-4-09 to 5-17-09
LiDAR Block N - 10-29-08 to 11-3-08, 5-27-09 to 5-29-09
LiDAR Block O - 10-28-08 to 11-1-08
LiDAR Block Lake of the Woods - 5-17-09
LiDAR Block Koochiching - 5-17-09 to 5-30-09
LiDAR Block Big Stone - 4-8-10 to 4-9-10
Film Blocks ABCD - 4-18-08 to 5-20-08, 5-10-09 to 5-17-09
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: +093.885241
East_Bounding_Coordinate: +100.647025
North_Bounding_Coordinate: +49.112226
South_Bounding_Coordinate: +45.454503
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: LiDAR Acquisition
Theme_Keyword: LiDAR
Theme_Keyword: LiDAR 1.4m
Theme_Keyword: Film
Theme_Keyword: International Water Institute, Fargo ND
Theme_Keyword: RRBMI Red River Basin Mapping Initiative
Place:
Place_Keyword_Thesaurus: Geographic Names Information System
Place_Keyword: SD
Place_Keyword: South Dakota
Place_Keyword: ND
Place_Keyword: North Dakota
Place_Keyword: Minnesota
Place_Keyword: MN
Place_Keyword: Red River
Access_Constraints: none
Use_Constraints:
None other than the International Water Institute asks to be credited in any derived products or services.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: International Water Institute
Contact_Person: Chuck Fritz
Contact_Position: Director
Contact_Address:
Address_Type: mailing and physical address
Address: International Water Institute NDSU Dept. 9030, PO Box 6050
City: Fargo
State_or_Province: ND
Postal_Code: 58108-6050
Country: USA
Contact_Voice_Telephone: 701.231.9747
Hours_of_Service: 8am to 5pm Central Time
Contact_Email:
charles.fritz@ndsu.edu
Contact_Instructions: <http://www.internationalwaterinstitute.org/contact1.htm>
Browse_Graphic:
Browse_Graphic_File_Name: RRBMI_Graphic.pdf
Browse_Graphic_File_Description: Spatial Extent of Red River Basin Mapping Initiative
Browse_Graphic_Access: <http://www.internationalwaterinstitute.org/forms/RRBMI_Graphic.pdf>

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
GPS phase data was post processed with continuous kinematic survey techniques using "On the Fly" (OTF) integer ambiguity resolution. The GPS data was processed with forward and reverse processing algorithms. The results from each process, using the data collected at the airport and in project area, were combined to yield a single fixed integer phase differential solution of the aircraft trajectory. The differences between the forward to reverse solution within the project area were within project specifications, indicating a valid and accurate solution. An IMU was used to record precise changes in position and orientation of the LiDAR scanner at a rate of 200 Hz. All IMU data was processed post flight with a filter to integrate inertial measurements and precise phase differential GPS positions. The resulting solution contains geodetic position, omega, phi, kappa, and time for subsequent merging with the laser ranging information.
Logical_Consistency_Report: Tiling is based on the UTM14 coordinates.
Completeness_Report: None
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: <= 1 meter RMSE
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report: <= 15cm RMSE - meets the FEMA requirements for floodplain mapping.
Validated through 3rd party QA review.
Detailed information for each block are available under 'Quality Control Reports' at <http://www.internationalwaterinstitute.org/lidar.htm>.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: International Water Institute
Publication_Date: 20100524
Title: <http://www.internationalwaterinstitute.org/>
Geospatial_Data_Presentation_Form: remote-sensing image
Online_Linkage: <http://www.internationalwaterinstitute.org/>
Type_of_Source_Media: Digital copy
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20080418
Ending_Date: 20100524
Source_Currentness_Reference: 20100524
Source_Citation_Abbreviation: Georectifed LiDAR data sets
Source_Contribution: Digital Georectifed LiDAR.
Process_Step:
Process_Description:
AeroScan LiDAR timed reflection data and the IMU SOL flies were processed together using LiDAR processing software. The data set for each flight line was checked for project area coverage, data gaps between overlapping flight lines, and tension/compression areas (areas where data points are more or less dense that the average project specified post spacing). Using an iterative process that involves analyzing raster difference calculations the omega,phi,kappa angle corrections for the LiDAR instrument were determined. Corrections were applied to the LiDAR data set. Extensive comparisons were made of vertical and horizontal positional differences between points common to two or more LiDAR flight lines. An intensity raster for each flight line was generated and verified that intensity was recorded for each LiDAR point. LiDAR ground points were compared to independently surveyed and positioned ground control points at both the airport bore-sight area and the project area. Based on the results of these comparisons, the LiDAR data was vertically biased to the ground. (1) PRE-PROCESSING STAGE LiDAR, GPS and IMU data are processed together using LiDAR processing software. The LiDAR data set for each flight line is checked for project area coverage and LiDAR post spacing is checked to ensure it meets project specifications. The LiDAR collected at the calibration area is used to correct the rotational, atmospheric, and vertical elevation differences that are inherent to LiDAR data. Intensity raster is generated to verify that intensity was recorded for each LiDAR point. LiDAR data is transformed to the specified project coordinate system. By utilizing the ground survey data collected at the calibration site and project area, the LiDAR data is vertically biased to the ground. Comparisons between the biased LiDAR data and ground survey data within the project area are evaluated and a final RMSE value is generated to ensure the data meets project specifications. LiDAR data in overlap areas of project flight lines is removed and data from all swaths is merged into a single data set. The data set is trimmed to the digital project boundary including an additional buffer zone, which is typically about 50 feet (buffer zone assures adequate contour generation from the DEM). The resulting data set is referred to as the raw LiDAR data. (2) SURFACING STAGE The raw LIDAR data is processed through a minimum block mean algorithm and points are classified as either bare earth or non-bare earth. User developed "macros" that factor mean terrain angle and height from the ground are used to determine bare earth point classification. The next phase of the surfacing process is a 2D edit procedure that ensures the accuracy of the automated feature classification. Editors use a combination of imagery, intensity of the LiDAR reflection and tin-editing software to assess points. The LiDAR data is filtered, as necessary, using a quadric error metric to remove redundant points. This method leaves points where there is a change in the slope of surfaces (road ditches) and eliminates points from evenly sloped terrain (flat field) where the points do not affect the surface. The resulting data set is referred to as "preliminary bare-earth LiDAR" and is 2D surfaced and filtered as necessary. This data set is accurate for 5 contours or 2 contours.
Process_Date: varies

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 14
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -099.000000
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: .001
Ordinate_Resolution: .001
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80 (GRS 80)
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257222101
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: NAVD88
Altitude_Resolution: .001
Altitude_Distance_Units: Meters
Altitude_Encoding_Method: Implicit coordinate
Depth_System_Definition:
Depth_Datum_Name: No correction
Depth_Resolution: .001
Depth_Distance_Units: Meters
Depth_Encoding_Method: Implicit coordinate

Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
1.4m LiDAR Acquisition and Processing for International Water Institute, Fargo ND 2008-2010.
Entity_and_Attribute_Detail_Citation: None

Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: International Water Institute
Contact_Address:
Address_Type: mailing and physical address
Address: International Water Institute, NDSU Dept. 9030, PO Box 6050
City: Fargo
State_or_Province: ND
Postal_Code: 58105-6050
Country: USA
Contact_Voice_Telephone: 701-231-5266
Hours_of_Service: 8am to 5pm Central Time
Contact_Instructions: Email
Distribution_Access: <http://gis.rrbdin.org/lidarapps.htm>

Distribution_Liability:
In no event shall the creators, custodians, or distributors of this information be liable for any damages arising out of its use (or the inability to use it).

Metadata_Reference_Information:
Metadata_Date: 20100524
Metadata_Contact:
Contact_Information:
Contact _Organization_Primary:
Contact_Organization: International Water Institute
Contact_Person: Grit May
Contact_Position:
Project Specialist
Contact_Address:
Address_Type: mailing and physical address
Address: International Water Institute, NDSU Dept 9030, PO Box 6050
City: Fargo
State_or_Province: ND
Postal_Code: 58108-6050
Country: USA
Contact_Voice_Telephone: 701.231.5266
Hours_of_Service: 8am to 5pm Central Time
 
 
Contact_Email: grit.may@ndsu.edu
Contact_Instructions:
Email
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

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