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Maui Hyperspectral Imagery 2000 (307-0618-332211) - Visual Interpretation from Remote Sensing Imagery Main Eight Hawaiian Islands
Summary
- Type of release
- ongoing release of a series of related datasets
- Data Licence
- Not Applicable
- Content Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 27 September 2015
- Modified Date
- 27 September 2015
- Update Frequency
- notPlanned
- Publishers
- National Oceanic and Atmospheric Administration, Department of Commerce
- Identifier
- maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag
- Landing Page
- http://catalog.data.gov/dataset/maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag
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Description
This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, the University of Hawaii, and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery. The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest. Depending on the type of instrument, a spectral imaging system can be utilized to see multiple colors from ultraviolet through the far infrared range. The AURORA hyperspectral imaging system collected 72 ten nm bands in the visible and near infrared spectral range with a 3 meter pixel resolution. The data was processed to select band widths, which optimized feature detection in shallow and deep water. Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.
General Information
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This data is described at
http://catalog.data.gov/dataset/maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag Do you think this data is incorrect? Let us know
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This data is published by
National Oceanic and Atmospheric Administration, Department of Commerce Do you think this data is incorrect? Let us know
Legal Information
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The rights statement is at
http://catalog.data.gov/dataset/maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag Do you think this data is incorrect? Let us know
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Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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There are
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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This data contains
no data about individuals Do you think this data is incorrect? Let us know
Practical Information
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The data appears in this collection
http://catalog.data.gov/organization/noaa-gov Do you think this data is incorrect? Let us know
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This data changes
no Do you think this data is incorrect? Let us know
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The data is
backed up offsite Do you think this data is incorrect? Let us know
Technical Information
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Releases of this data are listed at
http://catalog.data.gov/api/rest/package/maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag Do you think this data is incorrect? Let us know
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag Do you think this data is incorrect? Let us know
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Find out how to suggest improvements to publication at
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/maui-hyperspectral-imagery-2000-307-0618-332211-visual-interpretation-from-remote-sensing-imag Do you think this data is incorrect? Let us know