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| <p><strong>Hyperspectral Applications to NOAA Products</strong></p> | |
| <p>Hsiao-hua k. Burke1</p> | |
| <p>MIT Lincoln Laboratory</p> | |
| <p>Lexington, MA 02420</p> | |
| <p>Recent advances in EO sensor technology and signal processing have led to the realization of simultaneous high-resolution spectral, spatial and temporal data. The potential benefits of visible and IR hyperspectral imaging to NOAA are many fold: from algorithm transferability, channel adaptability, and application growth to inter-satellite calibration and stable climate record. In this presentation, applications of visible and IR hyperspectral information to atmospheric characterization as well as surface feature retrieval will be discussed and illustrated with recent data. </p> | |
| <p>Examples of the Airborne Visible-InfraRed Imaging Spectrometer (AVIRIS) and Hyperion data analysis results are illustrated. AVIRIS, an airborne HSI sensor, has provided high quality HSI data for over a decade. The sensor contains 224 bands, each with a spectral bandwidth of approximately 10 nm, allowing it to cover the entire range between 400 nm and 2500 nm. For a NASA ER-2 flight altitude of 20 km, each pixel is 20 m in size, yielding a ground swath width of approximately 10 km. Hyperion is currently the only space-borne HSI data source since the launch of the First Earth Observing -1 (EO-1) in late 2000. The EO-1 satellite is part of NASA’s New Millenium Program (NMP). It consists of three imaging sensors: the multi-spectral Advanced Land Imager (ALI), Hyperion and Atmospheric Corrector. Hyperion provides a high-resolution hyperspectral imager capable of resolving 220 spectral bands (from 0.4 to 2.5 micron) with a 30 meter resolution. The instrument images a 7.5 km by 100 km land area per image. </p> | |
| <p>Examples of atmospheric applications include water vapor retrieval, cloud depiction, and aerosol characterization. Land surface feature delineation examples are also shown. Finally, coastal characterization is illustrated with Hyperion and compared with other data. It is emphasized that though each application may only require a selective number of spectral bands, the ultimate strength of HSI exploitation lies in the simultaneous and adaptive retrievals of atmospheric and surface features. </p> | |
| <p>1Telephone 781-981-7979, fax 781-981-7271, e-mail HYPERLINK mailto:burke@ll.mit.edu burke@ll.mit.edu</p> | |
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