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Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing
| Title: | Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing. |
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| Name(s): |
Selch, Donna, author Zhang, Caiyun Graduate College Oleinik, Anton E. |
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| Type of Resource: | text | |
| Genre: | Poster | |
| Date Created: | 2014 | |
| Date Issued: | 2014 | |
| Publisher: | Florida Atlantic University Digital Library | |
| Place of Publication: | Boca Raton, Florida | |
| Physical Form: | ||
| Extent: | 1 p. | |
| Language(s): | English | |
| Summary: | Quantitative assessment of substrate classification for sand properties is needed for land management and conservation. Establishing a sand spectral library is the first step in this process. Hyperspectal analysis allows for rapid, nondestructive data acquisition. This process uses an ASD spectrometer in a laboratory setting with an artificial light source to collect the spectra. Sand collected worldwide was also analyzed for grain size and composition. Development of spectral libraries of sand is an essential factor to facilitate analytical techniques to monitor coastal problems including erosion and beach nourishment. This in turn can affect various flora and fauna which requires specific substrate to grow, nest, or live. Preliminary results show that each sand sample has a unique signature that can be identified using hyperspectral data. | |
| Identifier: | FA00005166 (IID) | |
| Held by: | Florida Atlantic University Libraries | |
| Sublocation: | FAU Digital Library | |
| Persistent Link to This Record: | http://purl.flvc.org/fau/fd/FA00005166 | |
| Restrictions on Access: | Author retains copyright. | |
| Host Institution: | FAU |
