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Hyperspectral Sensing – Imaging Spectroscopy

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Presentation on theme: "Hyperspectral Sensing – Imaging Spectroscopy"— Presentation transcript:

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

2 What is Hyperspectral Sensing?

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

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 Diagnostic / identifying characteristics are lost in wide bands

7 Imaging Spectrometry Concept

8 Analysis of Hyperspectral Data -- Approaches
Wavelength Reflectance 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 Mineral Detection and Mapping
Reflectance Wavelength, μm Mineral Detection and Mapping

12 Mineral Maps from Hyperspectral Data
True Color Image

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

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15 Satellite Hyperspectral Sensors
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)

16 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 Wavelength, μm Reflectance


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