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University of Wisconsin GIFTS MURI University of Hawaii Contributions Paul G. Lucey Co-Investigator.

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Presentation on theme: "University of Wisconsin GIFTS MURI University of Hawaii Contributions Paul G. Lucey Co-Investigator."— Presentation transcript:

1 University of Wisconsin GIFTS MURI University of Hawaii Contributions Paul G. Lucey Co-Investigator

2 Hawaii Capabilities Contribute To All Aspects of Wisconsin MURI Project

3 Overview— Surface Materials Properties Airborne hyperspectral data reduced to emissivity Laboratory data collection of materials spectral properties Directed airborne hyperspectral data collection Specialized surface materials properties of interest to GIFTS MURI Data collections in support of atmospheric model validation Hyperspectral analysis methodologies Target detection and surface materials classification algorithms.

4 AHI Airborne LWIR Hyperspectral Imager UV, VISNIR, MWIR/LWIR Field Spectrometers UH Operates Airborne, Field and Laboratory Hyperspectral Data Collection Systems for Collection of Surface Materials Spectral Properties Nicolet MWIR/LWIR Laboratory FTIR

5 Extensive Airborne Data Sets of Various Terrains Mosaic of (AHI) LWIR Data of Silver Lake CA End-Members Determined by N-FINDR with Constrained Unmix Abundance of Kaolinite calculated from spectral unmixing Kaolinite Quartzite Carbonates Mixed Clays and Other Silicates Mixed Clays LWIR spectra of mineral components in the scene

6 Airborne Hyperspectral and Field Ground Truth Solid: AHI Airborne hyperspectral Symbols: Field spectrometer ground truth

7 Field Hyperspectral Ground Truth and Laboratory Support

8 Directed AHI airborne hyperspectral data collection Specialized surface materials properties of interest to GIFTS MURI Data collections in support of atmospheric model validation

9 Gas detection using a matched filter with AHI Red area shows gas detection Single band TIR imageMatched filter detection Gas Absorption Peaks Probable reflected ozone Spectra from AHI Data Cube

10 Relevant Spectral Resolution AHI maximum spectral resolution (3 wavenumbers) is relevant to some GIFTS data collection modes Band Number Radiance

11 Hyperspectral analysis methodologies Target detection and surface materials classification algorithms Autonomous End-members and Spectral Unmixing 3 3 Spectral Endmembers Found Using Autonomous Method: N-Findr Spectra then “Unmixed” Using Linear Algebra Endmember spectra interpreted using spectrum library search

12 0 500 1000 1500 2000 2500 3000 3500 4000 4500 195020502150225023502450 0 0.1 0.2 0.3 0.4 0.5 0.6 KaoliniteAlunite Buddingtonite Comparison of N-FINDR Endmember Spectra to Library Spectra N-FINDR is red Spectra Compare Best for Materials that have a near Pure Pixel in the Scene

13 Surface materials mapping Red: Silicates Halloysite Kaolinite Jarosite Buddingtonite Green: Carbonates Calcite Blue: Sulfates Alunite

14 MURI Progress— Continuing compilation of non-classified airborne hyperspectral data sets in units of surface emissivity in accessible on-line form Continued collection of laboratory data in support of surface emissivity library Test data collection of airborne hyperspectral data in Hawaii for atmospheric model validation.

15 Compilation of non-classified airborne hyperspectral data UH has collected 100’s of Gbytes of airborne hyperspectral data, but accessibility is poor (off-line DVD chronological storage) Data catalog is under development including geographic location, thumbnails and materials summaries.

16 Progress— Continued collection of laboratory data in support of surface emissivity library

17 Progress— Test data collection of airborne hyperspectral data in Hawaii for atmospheric model validation. AHI Flight Lines

18 Single band IR image of active flow field

19 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 88.599.51010.51111.512 Wavelength (microns) Emissivity 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 88.599.51010.51111.512 Wavelength (microns) Emissivity SO 2 2 Metastable silica glass

20 along track Spatial spectral slice showing SO2 and metastable glass Brightness temperature Apparent Emissivity

21 UVS Ground truth measurements of SO2 abundance

22 Plan for Next Reporting Period Completion of on-line data base of laboratory spectra with simple data ingestion On-line data base/catalog of AHI airborne data Continue collection of directed validation airborne data runs Focus on aerosols and water vapor Using HIGP ground truthing tools Aerosol photometer NIR/SWIR spectral water vapor measurements GPS water vapor


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