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Hyperspectral Sensing – Imaging Spectroscopy

Spatial. Spectral, 100 – 200+ bands. Spatial. Hyperspectral Sensing – Imaging Spectroscopy. What is Hyperspectral Sensing?. Y. Z = Spectral Bands. X. Data Cube – a way to visualize the data. Multispectral. Hyperspectral. Each pixel. Discrete bands. Continuous spectrum.

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Hyperspectral Sensing – Imaging Spectroscopy

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  1. Spatial Spectral, 100 – 200+ bands Spatial Hyperspectral Sensing – Imaging Spectroscopy

  2. What is Hyperspectral Sensing?

  3. Y Z = Spectral Bands X Data Cube – a way to visualize the data

  4. Multispectral Hyperspectral Each pixel Discrete bands Continuous spectrum Reflectance Reflectance Wavelength Wavelength

  5. Multispectral vs. Hyperspectral Data Multispectral, e.g., Landsat TM Hyperspectral, e.g., AVIRIS Reflectance Wavelength

  6. Diagnostic / identifying characteristics are lost in wide bands Spectra of two materials with (very) different reflectance and absorption properties. If sensed with a wide band, Reflectance they will have the same response and cannot be discriminated or identified. Wavelength

  7. Imaging Spectrometry Concept

  8. Reflectance Wavelength Analysis of Hyperspectral Data -- Approaches • Direct identification using diagnostic absorption and reflection features • Comparison to laboratory and field measured spectra

  9. Crop Identification and Inventory based solely on the spectra

  10. Reflectance Spectra of Minerals Relative Reflectance Wavelength, μm

  11. Reflectance Wavelength, μm Mineral Detection and Mapping

  12. Mineral Maps from Hyperspectral Data True Color Image

  13. River Airborne Hyperspectral Remote Sensing 5.5 5 4.5 Confluence of 4 Reflectance % 3.5 Minnesota and 3 Mississippi 2.5 Rivers 2 1.5 400 500 600 700 800 900 Wavelength (nm) University of Minnesota, Remote Sensing Lab and Water Resources Center

  14. Hyperion On E0-1 (NASA) satellite 220 bands, 0.4 – 2.5 μm 12-bit radiometric resolution 30 m spatial resolution 7.5 km swath (= narrow) Satellite Hyperspectral Sensors

  15. Reflectance Wavelength, μm Summary • Hyperspectral sensing and analysis provides increased information compared to multispectral data • A fast growing technology - New sensors, new classification algorithms, and new image processing algorithms are being developed • Applications are being developed as the technology develops

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