Bronze level automatically awarded US beta

This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.

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

Community verification

Other people can verify whether the answers on this certificate are correct.

This certificate is automatically awarded.

Sign in to verify or report this certificate


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


Legal Information

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.
  • 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

  • Outside the US, this data is available under

    Creative Commons CCZero Do you think this data is incorrect? Let us know

  • 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

  • The content is available under

    Creative Commons CCZero Do you think this data is incorrect? Let us know

  • This data contains

    no data about individuals Do you think this data is incorrect? Let us know


Practical Information

  • The data appears in this collection

    http://catalog.data.gov/organization/noaa-gov Do you think this data is incorrect? Let us know

  • This data changes

    no Do you think this data is incorrect? Let us know

  • The data is

    backed up offsite Do you think this data is incorrect? Let us know


Technical Information


Social Information

  • The documentation includes machine-readable data for

    title Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    description Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    identifier Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    landing page Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    release frequency Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    publisher Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    distribution(s) Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    release date Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    modification date Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    temporal coverage Do you think this data is incorrect? Let us know

  • The documentation includes machine-readable data for

    spatial/geographical coverage Do you think this data is incorrect? Let us know

  • The documentation about each distribution includes machine-readable data for

    release date Do you think this data is incorrect? Let us know

  • The documentation about each distribution includes machine-readable data for

    a URL to access the data Do you think this data is incorrect? Let us know

  • The documentation about each distribution includes machine-readable data for

    a URL to download the dataset Do you think this data is incorrect? Let us know

  • 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

  • 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