This presentation was made on August 5, 2008 at the University of California, Santa Barbara. It discusses airborne hyperspectral technologies and applications.
2. Why We Are Here New Emphasis in Geospatial Imaging Monterey Peninsula October 2005 MSI (DSS) OrthoPhoto 0.5 m HSI Kelp Density (10% intervals)
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5. Why So Difficult Dark Target Spectroscopy Water is an extremely dark target compared to land targets. In addition, water attenuates signal exponentially with depth, at different rates per wavelength.
6. Why So Difficult Spectral Resolution in Shallow Water Depth = 6.5 m IOP = Case 1 Bottom = soft coral Depth = 13 m IOP = Pure H 2 0 Bottom = sponge
7. SAMSON: Spectroscopic Aerial Mapping System with On-board Navigation SAMSON provides full HSI dataset 256 bands in the VNIR (3.5 nm resolution) at 75 lines per second (pushbroom imager), with a SNR, stability, dynamic range, and calibration sufficient for dark target spectroscopy. SAMSON includes an Trimble Applanix DSS/POS AV system for RGB digital aerial photography data (framing imager) with direct geo-positioning. The HSI/RGB system is mounted on a 3-axis stabilized mount (100 Hz adjustment), and the position error of the RGB system is less than 1 pixel (<15 cm at nominal operating altitudes).
8. SAMSON Highlights SAMSON represents a geospatial sensor suite for automated feature extraction. Our hardware and software enables the automated rendering of intelligence from remotely sensed radiance in near-real time. Production time of 1 TB of raw imagery data (6 hours of continuous collection) to ortho-rectified products is less than 8 hours.
9. Product Generation Step 1. – Calibration and Orthorectification Putting the photons in the right place Putting the pixel in the right place
10. Florida Environmental Research Institute Optical Calibration and Alignment Laboratory (FOCAL) Basic Philosophy an end-to-end solution for the construction, assembly, alignment, focus, characterization, and NIST-traceable calibration of optical instruments ranging from simple irradiance meters to hyperspectral radiometers.
14. Product Generation Step 3. – Geospatial Intelligence LUT retrieval: Depth 2.75 m 80% sand, 20% grass IOP set #17 pixel R rs extraction database of R rs spectra database search spectrum match
15. May 2000 - Horseshoe Reef NRL-DC PHILLS image from ONR CoBOP program Courtesy C. Mobley, ONR collaborator, Spectral Matching Research Horseshoe Reef ooid sand mixed sediment, corals, turf algae, seagrass Lee Stocking Island, Bahamas dense seagrass
16. LUT Spectrum Matching Raw, Unconstrained Black: NRL acoustic survey for ONR CoBOP program Color: LUT unconstrained depth retrieval Acoustic bathymetry coverage is a few meters along track and ~10 m cross track resolution.
17. LUT Spectrum Matching Filtered, Unconstrained, kNN = 30 Using AI and optimization techniques to create to enhance fidelity of retrievals and create error statistics.
23. Calibrated SAMSON Data Monterey Bay, CA Ratio: 710nm / 550nm Date: 2006/09/12 Time: 10:15 AM Zenith Angle: 45 5 km
24. Calibrated SAMSON Data Monterey Bay, CA Ratio: 710nm / 550nm Date: 2006/09/12 Time: 12:15 PM Zenith Angle: 35 Kilometers scale transport of HAB over this time window. Time resolution of spectral signal will provide immediate benefits for HAB tracking, and prediction of HAB landfall . 5 km
25. FDEP St. Joseph Bay, FL Sept. 2006 Courtesy R. Zimmerman, V. Hill, ODU
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28. Why We Are Here New Emphasis in Geospatial Imaging Monterey Peninsula October 2005 MSI (DSS) OrthoPhoto 0.5 m HSI Kelp Density (10% intervals)
30. Precision Agriculture Using Automated Feature Extraction NEWS RELEASE August 29, 2006 - Trimble Combines GPS Guidance and Rate Control to Automate Agricultural Spraying Operations SAMSON Ag Mapping SAMSON Ag AFEx Trimble Ag GPS 170 Precision application of fertilizer, pesticides, and herbicides for reducing agriculture impacts to the environment.