Importance of QA in LiDAR Collects and Applications within Watershed Districts  Presented to: North Dakota State Water Com...
Quality Assurance <ul><li>HEI under contract with International Water Institute to QA 45,000 sq. mi. collect in Red River ...
LiDAR Products   (Hallock, MN) Bridge RAW Bare Earth Aerial Photo Hybrid Image
Hybrid Image
Acceptance Criteria <ul><li>Files are complete for delivery block </li></ul><ul><ul><li>Raw LAS, Bare Earth LAS, 1m GRID, ...
Assessment Methodology <ul><li>Systematic check to ensure files are complete (Chain of Custody Form) </li></ul><ul><li>Com...
Quality Assurance (Checkpoint Survey) <ul><li>Checkpoints (approx. 1500) </li></ul><ul><ul><li>Minimum of 20 survey check ...
Quality Assurance (Visual Assessment) <ul><li>Anomalies, Systematic Errors, Human Errors </li></ul><ul><ul><li>Steps in fl...
Quality Assurance (Visual Assessment)
Quality Assurance (Visual Assessment)
Preliminary Results
 
 
Quality Assurance <ul><li>http://www.internationalwaterinstitute.org/lidar.htm </li></ul>
Importance of Quality Assurance <ul><li>Gives more confidence in the investment of the data </li></ul><ul><li>Documents qu...
Uses of LiDAR within Watershed Districts <ul><li>Preliminary Engineering Design and Planning </li></ul><ul><li>Hydraulic M...
Flood Control Impoundment Site Identification  <ul><li>County Ditch 18 – Impoundment Example </li></ul>
Flood Control Impoundment Site Identification  <ul><li>County Ditch 18 – Impoundment Example </li></ul>
Flood Control Impoundment Site Identification  <ul><li>Pool at 1192.0 </li></ul>
Flood Control Impoundment Site Identification  <ul><li>County Ditch 18 – Impoundment Example </li></ul><ul><li>Difference ...
Hydraulic Modeling South Branch of the Wild Rice River – June 2000
Hydrologic Modeling <ul><li>Drainage Area Delineation </li></ul><ul><li>Flow Length </li></ul><ul><li>Time of Concentratio...
Hydrologic Modeling
Hydrologic Modeling
Watershed Permit Reviews <ul><li>Existing Flow Patterns </li></ul><ul><li>Assessment Area </li></ul><ul><li>Contributing A...
Floodplain and flood insurance mapping   <ul><li>DFIRM – Digital Flood Insurance Rate Map Production </li></ul><ul><li>Hyd...
Risk Assessment  <ul><li>Dam Breach Analysis at Rockwell Dam </li></ul><ul><ul><li>Storage Volume </li></ul></ul><ul><ul><...
Drainage Complaint Disputes <ul><li>Evidence of historic drainage patterns </li></ul>Complaint of Tree Removal and Filling...
Diversion Channel Routing <ul><li>Optional Alignment Analysis </li></ul><ul><li>Quantity Estimates </li></ul><ul><li>Cost ...
Farmstead Ring Dike Design <ul><li>Alignment </li></ul><ul><li>Quantities </li></ul><ul><li>Cost Estimates </li></ul><ul><...
Off-site Wetland Delineation/Restoration Estimates <ul><li>USFWS – Restorable Wetlands </li></ul><ul><li>NWI – National We...
Lake Level Management <ul><li>Home Lake – Norman County </li></ul><ul><li>Water Levels from Runoff </li></ul><ul><li>Poten...
Watershed Applications <ul><li>Opportunities are endless </li></ul><ul><li>Daily use since collection </li></ul><ul><li>No...
Questions? Presented by: Brian Fischer, CFM GIS Project Manager Houston Engineering, Inc. [email_address] 762-493-4522 Jun...
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Fischer - Importance of Quality Control in Using LiDar

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Fischer - Importance of Quality Control in Using LiDar

  1. 1. Importance of QA in LiDAR Collects and Applications within Watershed Districts Presented to: North Dakota State Water Commission Bismarck, ND Presented by: Brian Fischer, CFM GIS Project Manager Jerry Bents, PE Vice President Mark Deutschman, PE, PhD Vice President June 4, 2009
  2. 2. Quality Assurance <ul><li>HEI under contract with International Water Institute to QA 45,000 sq. mi. collect in Red River Basin </li></ul><ul><li>Includes all or Parts of 50 Counties </li></ul><ul><li>Goal to provide an independent 3 rd party assessment and documentation on the quality of data </li></ul>
  3. 3. LiDAR Products (Hallock, MN) Bridge RAW Bare Earth Aerial Photo Hybrid Image
  4. 4. Hybrid Image
  5. 5. Acceptance Criteria <ul><li>Files are complete for delivery block </li></ul><ul><ul><li>Raw LAS, Bare Earth LAS, 1m GRID, Hybrid </li></ul></ul><ul><ul><li>Metadata, Completion Report, Survey Report </li></ul></ul><ul><li>Root Mean Square Error (RMSE (z) ) of +/- 15 cm </li></ul><ul><li>No major anomalies or data voids in visual assessment </li></ul>
  6. 6. Assessment Methodology <ul><li>Systematic check to ensure files are complete (Chain of Custody Form) </li></ul><ul><li>Comparison between checkpoints and LIDAR product to calculate RMSE (z) </li></ul><ul><li>Visual Assessment </li></ul><ul><ul><li>Data Voids </li></ul></ul><ul><ul><li>Appropriate Classification </li></ul></ul><ul><ul><li>Anomalies (spikes, penetration problems, etc.) </li></ul></ul>
  7. 7. Quality Assurance (Checkpoint Survey) <ul><li>Checkpoints (approx. 1500) </li></ul><ul><ul><li>Minimum of 20 survey check points in dominant land cover class </li></ul></ul><ul><ul><li>Landuse computed by Block </li></ul></ul><ul><ul><li>Checkpoints collected in 5 land classes </li></ul></ul><ul><ul><ul><li>Low grass/bare earth </li></ul></ul></ul><ul><ul><ul><li>High grass/weeds/crops </li></ul></ul></ul><ul><ul><ul><li>Brush/low trees </li></ul></ul></ul><ul><ul><ul><li>Forested </li></ul></ul></ul><ul><ul><ul><li>Urban </li></ul></ul></ul>
  8. 8. Quality Assurance (Visual Assessment) <ul><li>Anomalies, Systematic Errors, Human Errors </li></ul><ul><ul><li>Steps in flight lines, data voids, poor penetration, aggressive classification, misclassification </li></ul></ul>
  9. 9. Quality Assurance (Visual Assessment)
  10. 10. Quality Assurance (Visual Assessment)
  11. 11. Preliminary Results
  12. 14. Quality Assurance <ul><li>http://www.internationalwaterinstitute.org/lidar.htm </li></ul>
  13. 15. Importance of Quality Assurance <ul><li>Gives more confidence in the investment of the data </li></ul><ul><li>Documents quality of data </li></ul><ul><li>Serves as an acceptance mechanism for the contract </li></ul><ul><li>History has shown LiDAR collects need validation </li></ul><ul><ul><li>IWI has rejected Block A and B for things found in the visual assessment (steps, data voids and missing files) </li></ul></ul>
  14. 16. Uses of LiDAR within Watershed Districts <ul><li>Preliminary Engineering Design and Planning </li></ul><ul><li>Hydraulic Modeling </li></ul><ul><li>Hydrologic Modeling </li></ul><ul><li>Permit Reviews </li></ul><ul><li>Risk Assessment </li></ul><ul><li>Many Others </li></ul>
  15. 17. Flood Control Impoundment Site Identification <ul><li>County Ditch 18 – Impoundment Example </li></ul>
  16. 18. Flood Control Impoundment Site Identification <ul><li>County Ditch 18 – Impoundment Example </li></ul>
  17. 19. Flood Control Impoundment Site Identification <ul><li>Pool at 1192.0 </li></ul>
  18. 20. Flood Control Impoundment Site Identification <ul><li>County Ditch 18 – Impoundment Example </li></ul><ul><li>Difference between Quad and LiDAR Data </li></ul><ul><li>Less actual storage at each elevation </li></ul><ul><li>2–2.5ft high pool levels and embankment heights required to achieve same storage </li></ul><ul><li>Approximately 50% increase in required land </li></ul>
  19. 21. Hydraulic Modeling South Branch of the Wild Rice River – June 2000
  20. 22. Hydrologic Modeling <ul><li>Drainage Area Delineation </li></ul><ul><li>Flow Length </li></ul><ul><li>Time of Concentration </li></ul><ul><li>Floodplain Storage Volumes </li></ul><ul><li>Impoundment Site Volumes </li></ul><ul><li>Wetland Storage Volumes </li></ul><ul><li>Land Slope </li></ul>
  21. 23. Hydrologic Modeling
  22. 24. Hydrologic Modeling
  23. 25. Watershed Permit Reviews <ul><li>Existing Flow Patterns </li></ul><ul><li>Assessment Area </li></ul><ul><li>Contributing Area </li></ul><ul><li>Slopes </li></ul>
  24. 26. Floodplain and flood insurance mapping <ul><li>DFIRM – Digital Flood Insurance Rate Map Production </li></ul><ul><li>Hydraulic Modeling </li></ul>
  25. 27. Risk Assessment <ul><li>Dam Breach Analysis at Rockwell Dam </li></ul><ul><ul><li>Storage Volume </li></ul></ul><ul><ul><li>Inundation Area </li></ul></ul><ul><ul><li>Topography/Cross-sections </li></ul></ul><ul><ul><li>Watershed Delineation </li></ul></ul>
  26. 28. Drainage Complaint Disputes <ul><li>Evidence of historic drainage patterns </li></ul>Complaint of Tree Removal and Filling in Natural Drain
  27. 29. Diversion Channel Routing <ul><li>Optional Alignment Analysis </li></ul><ul><li>Quantity Estimates </li></ul><ul><li>Cost Estimating </li></ul><ul><li>R/W Requirements </li></ul><ul><li>Hydraulic Analysis </li></ul>
  28. 30. Farmstead Ring Dike Design <ul><li>Alignment </li></ul><ul><li>Quantities </li></ul><ul><li>Cost Estimates </li></ul><ul><li>Mitigation Requirements </li></ul><ul><li>Permitting </li></ul>
  29. 31. Off-site Wetland Delineation/Restoration Estimates <ul><li>USFWS – Restorable Wetlands </li></ul><ul><li>NWI – National Wetland Inventory </li></ul><ul><li>Contours </li></ul><ul><li>Restoration Opportunities </li></ul><ul><li>Mitigation Requirements </li></ul>Restoration Opportunities Potential Mitigation
  30. 32. Lake Level Management <ul><li>Home Lake – Norman County </li></ul><ul><li>Water Levels from Runoff </li></ul><ul><li>Potential Outlet Modifications </li></ul><ul><li>Permitting </li></ul>
  31. 33. Watershed Applications <ul><li>Opportunities are endless </li></ul><ul><li>Daily use since collection </li></ul><ul><li>No more taping maps quad maps together </li></ul>
  32. 34. Questions? Presented by: Brian Fischer, CFM GIS Project Manager Houston Engineering, Inc. [email_address] 762-493-4522 June 4, 2009

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