Time Coincident Aerial LiDAR and Imagery

By Christian Stallings

Transcript

1. Christian Stallings, prov. CP Time Coincident Aerial LiDAR and Imagery
2. Time Coincident Remote Sensing —  Any type of remote sensing device that is capturing information at the same time as an alternate remote sensing device Image  Credit:  Optech  and  Leica  
3. Two Is Better Than One… Image credit: Courtesy of ERDAS.
4. But 20 is Even Better! Image credit: NASA ESPO
5. Time Coincident Remote Sensing —  Could be combination of: —  Topographic LiDAR —  Bathymetric LiDAR —  RGB Imagery —  Near Infrared Imagery —  Multi-spectral Imagery —  Hyper-spectral Imagery —  Multi-look Oblique Imagery —  Radar —  Weather Information —  Airborne trajectory information (ABGPS) Image Credit: NOAA
6. Iris OneTM + Riegl DSS+Riegl ALTM+DiMAC Trimble Harrier 68i
7. Advantages & Trade-Offs —  Advances in compatibility between systems creates opportunity for acquisition cost savings (Flying height to ‘foot print’) —  Your only as good as your weakest link —  In some cases, greater cost savings can be found through processing than simultaneous collection
8. Compatible System Settings LiDAR approx. 10 pp2m, 1,194 ft. wide Imagery 4cm GSD, 1,079 ft. wide 50mm lens 80mm lens LiDAR approx. 25 pp2m, 725 ft. wide Imagery 2cm GSD, 675 ft. wide
9. Aircrafts Are Expensive —  A fixed wing aircraft can cost between $400 and $1,000 an hour to operate. —  A helicopter can cost $1,000 to $2,000 an hour to operate. —  A 10 hour mission that requires imagery and LiDAR from a helicopter could save you $20,000 if it was flown at the same time!
10. How Important is Time for Proper Analysis? —  In 2011 over 20,000 new home permits were filed in the Austin, Texas area! —  Texas is the fastest developing state —  Any analysis which requires information from multiple datasets will have an error greater or equal to the amount of change in the different datasets. Source: US Census Bureau
11. Image Credit: Focal Flight – David Byrne Applications for Time Coincident Systems
12. NERC Transmission Line Collection
13. NERC Transmission line collection cont. —  Information collected: —  LiDAR —  Imagery (nadir 4 band and oblique) —  Weather information —  High definition video —  Amount of voltage running through the line —  All that information needs to be managed while its being collected!
14. VI 4 camera array Riegl 480 LiDAR Sensor
15. PLS-CADD analysis —  It is extremely important to power line engineers that all information is collected simultaneously.
16. Bastrop Fire of 2011 Image  credit  Power  Line  Systems  and  mn.com  
17. What is OBIA? Object Based Image Analysis “…partitioning remote sensing (RS) imagery into meaningful image- objects, and assessing their characteristics through spatial, spectral and temporal scale“ G.J. Hay & G. Castilla: Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline. In: T. Blaschke, S. Lang & G. Hay (eds.): Object-Based Image Analysis – Spatial Concepts for Knowledge-Driven Remote Sensing Applications. Lecture Notes in Geoinformation and Cartography, 18. Springer, Berlin/Heidelberg, Germany: 75-89 (2008)
18. OBIA with eCognition Software — Often LiDAR is needed because imagery analysis alone is not enough Image Credit: Trimble
19. Base Mapping Image  Credit:  Trimble  
20. Change Detection Image Credit: Intergraph
21. 3-D City Models Image Credit: Nokia Maps 3D
22. Forestry Image Credit: University of Idaho Image Credit: University of Victoria Image Credit: US Forest Service Image Credit: USDA/US Forest Service
23. Fire Threat Mapping Image Credit: FRAP
24. Summary —  Time Coincident collects can —  Save money —  Increase accuracy of analysis —  Change is constant
25. Thank you