Red River Basin Mapping 2008-2009
Metadata also available as
Metadata:
- Identification_Information:
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- Citation:
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- Citation_Information:
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- Originator: International Water Institute
- Publication_Date: 20080000
- Title: Red River Basin Mapping 2008-2009
- Geospatial_Data_Presentation_Form: remote-sensing image
- Publication_Information:
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- Publication_Place: International Water Institute, Fargo ND
- Publisher: RRBMI Red River Basin Mapping Initiative
- Other_Citation_Details:
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The International Water Institute was conceived by the
International Flood Mitigation Initiative (IFMI) in
2000. The Institute established an International
Management Board in 2001 that was charged with the
provision of oversight to the Red River Center for
Watershed Education and the Center for Flood Damage
and Natural Resource. The management board adopted a
set of bylaws that clearly articulate the organizational
mission and objectives and the roles of board members and
staff. The Institute began working with
Tri-College University, a collaborative (501c3) effort
between North Dakota State University, Concordia College
and University of Minnesota Moorhead to develop an
administrative framework that preserved the Institute's
International mandate and basin wide scope. Through
agreements, Tri-College University provides administrative
support and financial accounting to the Institute and
serves as the non-profit vehicle for grant proposals.
- Online_Linkage: <http://www.internationalwaterinstitute.org/>
- Description:
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- Abstract:
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This LiDAR data is the result of private and government
entities working together under the guidance of the
International Water Institute (IWI) regarding the Red River
Basin Mapping Initiative (RRBMI).
Fugro Horizons Inc in cooperation with North West
Geomatics, and Fugro EarthData acquired LiDAR
with Leica sensor ALS50-II MPiA for the Red River
Basin. The Red River Basin covers ND, MN, SD and
flows into Canada. The US boundary covers 40,733 sq
miles which is planned for acquisition between spring 2008
and Fall 2009. The spring 2008 LiDAR and film acquisition
occured between April 18th and May 20th. The spring
2008 collection area was approximately 17,854 sq miles for
LiDAR and 8,350 sq miles for the film. LiDAR sensor
settings included acquisition at 8,000' 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 was acquired at 17,500' AMT and its
accuracy can support 0.5m ortho photography. At this
time, funding has not been approved to develop
orthophotos or derivative products. Final deliverables for
the LiDAR 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 key points bare
earth LiDAR with a leading "A" identifier
*** Grids_integer - 1m Arc Grid, z in centimerters 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
Intensity data and return will be included
2-ground, 6-building, 8 model keypoint, 9- water
conditional on breaklines, 12 - overlap
*** Spring 2008 Film AT Report
*** Survey Report Blocks ABCD
Detail - Surveyor field notes and pictures of control
points
Overview - Text file of the LiDAR control, and a Google
Earth data file
- Purpose:
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International Water Institute strives to develop partnerships
to leverage the planned acquisition of LiDAR and
imagery to better meet state, local, and federal needs and
generate a freely accessible seamless high-resolution
digital elevation model for the US portion of the Red River
of the North Basin. One of the products of this effort is
1.4m average post spacing LiDAR and its derivatives.
Imagery was collected for the main corridor of the basin for
future utilization.
- Supplemental_Information:
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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.
Utilize technical and professional expertise to help resolve
critical water management issues.
Facilitate enhanced networking of research professionals
from higher education institutions and federal, state, and
local agency personnel, environmental groups, and citizens
of the Red River Basin to cooperate in solving the critical
water management and natural resource issues in the
basin.
Provide opportunities for faculty and students to receive
education, perform research, and gain experience on
subjects important to the region.
Prepare student for future employment while providing
valuable basic and applied research.
- Time_Period_of_Content:
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- Time_Period_Information:
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- Range_of_Dates/Times:
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- Beginning_Date: 20080418
- Ending_Date: 20080520
- Currentness_Reference: Publication Date
- Status:
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- Progress: Complete
- Maintenance_and_Update_Frequency: Irregular
- Spatial_Domain:
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- Bounding_Coordinates:
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- West_Bounding_Coordinate: +093.885241
- East_Bounding_Coordinate: +100.647025
- North_Bounding_Coordinate: +49.112226
- South_Bounding_Coordinate: +45.454503
- Keywords:
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- Theme:
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- 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:
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- 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: There are no limitations for access.
- Use_Constraints:
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None other than the International Water Institute asks to
be credited in any derived products or services.
- Point_of_Contact:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: International Water Institute
- Contact_Address:
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- Address_Type: mailing and physical address
- Address:
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International Water Institute
NDSU Dept 2850
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 Mountain Time
- Contact_Instructions: <http://www.internationalwaterinstitute.org/contact1.htm>
- Browse_Graphic:
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- Browse_Graphic_File_Name: None
- Browse_Graphic_File_Description: None
- Browse_Graphic_File_Type: None
- Data_Quality_Information:
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- Attribute_Accuracy:
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- Attribute_Accuracy_Report:
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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:
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- Horizontal_Positional_Accuracy:
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- Horizontal_Positional_Accuracy_Report: RMSE 1m
- Vertical_Positional_Accuracy:
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- Vertical_Positional_Accuracy_Report: Bare Earth 15cm RMSE
- Lineage:
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- Source_Information:
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- Source_Citation:
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- Citation_Information:
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- Originator: International Water Institute
- Publication_Date: 20080000
- Publication_Time: Unknown
- 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:
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- Time_Period_Information:
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- Range_of_Dates/Times:
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- Beginning_Date: 20080418
- Ending_Date: 20080520
- Source_Currentness_Reference: Publication Date
- Source_Citation_Abbreviation: Georectifed LiDAR data sets
- Source_Contribution: Digital Georectifed LiDAR.
- Process_Step:
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- Process_Description:
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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
preliminary 2’ contours.
(3) 2D EDIT STAGE ( ONLY IF OPTIONAL 5.2.1 IS
SELECTED AND NEGOTIATED AS A COST AND
DELIVERABLE)
The 2D surfaced bare-earth LiDAR data. Data points still
present on structures or vegetation are removed and
LiDAR data erroneously removed during the surfacing
process can be replaced.
- Process_Date: 20080000
- Spatial_Reference_Information:
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- Horizontal_Coordinate_System_Definition:
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- Planar:
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- Grid_Coordinate_System:
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- Grid_Coordinate_System_Name: Universal Transverse Mercator
- Universal_Transverse_Mercator:
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- UTM_Zone_Number: 14
- Transverse_Mercator:
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- 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:
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- Planar_Coordinate_Encoding_Method: row and column
- Coordinate_Representation:
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- Abscissa_Resolution: .001
- Ordinate_Resolution: .001
- Planar_Distance_Units: Meters
- Geodetic_Model:
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- 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:
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- Altitude_System_Definition:
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- Altitude_Datum_Name: NAVD88
- Altitude_Resolution: .001
- Altitude_Distance_Units: Meters
- Altitude_Encoding_Method: Implicit coordinate
- Depth_System_Definition:
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- Depth_Datum_Name: No correction
- Depth_Resolution: .001
- Depth_Distance_Units: Meters
- Depth_Encoding_Method: Implicit coordinate
- Entity_and_Attribute_Information:
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- Overview_Description:
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- Entity_and_Attribute_Overview:
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1.4m LiDAR Acquisition and Processing for International
Water Institue, Fargo ND 2008-2009.
- Entity_and_Attribute_Detail_Citation: None
- Distribution_Information:
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- Distributor:
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- Contact_Information:
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- Contact_Organization_Primary:
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- Contact_Organization: TBD
- Contact_Address:
-
- Address_Type: mailing and physical address
- Address: TBD
- City: TBD
- State_or_Province: TBD
- Postal_Code: TBD
- Country: USA
- Contact_Voice_Telephone: TBD
- Hours_of_Service: 8am to 5pm Mountain Time
- Contact_Instructions: TBD
- Distribution_Liability:
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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:
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- Metadata_Date: 20080000
- Metadata_Contact:
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- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: International Water Institute, Fargo ND
- Contact_Address:
-
- Address_Type: mailing and physical address
- Address:
-
NDSU Dept 2850
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 Mountain Time
- Contact_Instructions: <http://www.internationalwaterinstitute.org/>
- Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
- Metadata_Standard_Version: FGDC-STD-001-1998
Generated by mp version 2.9.0 on Tue May 05 17:30:52 2009