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University of Wisconsin GIFTS MURI University of Hawaii Contributions Paul G. Lucey Co-Investigator. Hawaii Capabilities Contribute To All Aspects of Wisconsin MURI Project. Overview— Surface Materials Properties Airborne hyperspectral data reduced to emissivity
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University of Wisconsin GIFTS MURI University of Hawaii Contributions Paul G. Lucey Co-Investigator
Hawaii Capabilities Contribute To All Aspects of Wisconsin MURI Project
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.
UH Operates Airborne, Field and Laboratory Hyperspectral Data Collection Systems for Collection of Surface Materials Spectral Properties AHI Airborne LWIR Hyperspectral Imager Nicolet MWIR/LWIR Laboratory FTIR UV, VISNIR, MWIR/LWIR Field Spectrometers
Extensive Airborne Data Sets of Various Terrains Mosaic of (AHI) LWIR Data of Silver Lake CA Mixed Clays End-Members Determined by N-FINDR with Constrained Unmix Kaolinite LWIR spectra of mineral components in the scene Mixed Clays and Other Silicates Quartzite Carbonates Abundance of Kaolinite calculated from spectral unmixing
Airborne Hyperspectral and Field Ground Truth Solid: AHI Airborne hyperspectral Symbols: Field spectrometer ground truth
Directed AHI airborne hyperspectral data collection • Specialized surface materials • properties of interest to GIFTS • MURI • Data collections in support of • atmospheric model validation
Gas detection using a matched filter with AHI Red area shows gas detection Spectra from AHI Data Cube Probable reflected ozone Gas Absorption Peaks Single band TIR image Matched filter detection
Relevant Spectral Resolution AHI maximum spectral resolution (3 wavenumbers) is relevant to some GIFTS data collection modes Radiance Band Number
Spectral Endmembers Found Using Autonomous Method: N-Findr 3 3 Hyperspectral analysis methodologiesTarget detection and surface materials classification algorithmsAutonomous End-members and Spectral Unmixing Spectra then “Unmixed” Using Linear Algebra Endmember spectra interpreted using spectrum library search
Comparison of N-FINDR Endmember Spectra to Library Spectra 7000 0.7 6000 0.6 4500 1 0.9 4000 0.5 5000 0.8 3500 0.7 3000 0.6 2500 0.5 4000 0.4 2000 0.4 1500 0.3 1000 0.2 Calcite 500 0.1 3000 0.3 0 0 1950 2050 2150 2250 2350 2450 0.2 2000 0.1 1000 0 0 1950 2050 2150 2250 2350 2450 4500 0.6 4000 0.5 3500 3000 0.4 2500 0.3 2000 1500 0.2 1000 0.1 500 0 0 1950 2050 2150 2250 2350 2450 N-FINDR is red Alunite Kaolinite Buddingtonite Spectra Compare Best for Materials that have a near Pure Pixel in the Scene
Red: Silicates • Halloysite • Kaolinite • Jarosite • Buddingtonite • Green: Carbonates • Calcite • Blue: Sulfates • Alunite Surface materials mapping
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.
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. Compilation of non-classified airborne hyperspectral data
Progress— • Continued collection of laboratory data in support of surface emissivity library
l • Progress— • Test data collection of airborne hyperspectral data in Hawaii for atmospheric model validation. AHI Flight Lines
1.1 1.1 Metastable silica glass 1 1 SO SO 2 2 0.9 0.9 0.8 0.8 Emissivity Emissivity 0.7 0.7 0.6 0.6 0.5 0.5 0.4 0.4 8 8 8.5 8.5 9 9 9.5 9.5 10 10 10.5 10.5 11 11 11.5 11.5 12 12 Wavelength (microns) Wavelength (microns)
l l along track Brightness temperature Apparent Emissivity Spatial spectral slice showing SO2 and metastable glass
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