File Download
There are no files associated with this item.
SFX Link
- Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
- Im, Jungho
- Intelligent Remote sensing and geospatial Information Science Lab.
Views & Downloads
Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | IO | - |
| dc.citation.conferencePlace | Bali; Indonesia | - |
| dc.citation.endPage | 2295 | - |
| dc.citation.startPage | 2293 | - |
| dc.citation.title | 34th Asian Conference on Remote Sensing 2013, ACRS 2013 | - |
| dc.citation.volume | 3 | - |
| dc.contributor.author | Im, Jungho | - |
| dc.contributor.author | Lee, Junghee | - |
| dc.contributor.author | Kim, Miae | - |
| dc.contributor.author | Park, Youngje | - |
| dc.date.accessioned | 2023-12-20T00:37:52Z | - |
| dc.date.available | 2023-12-20T00:37:52Z | - |
| dc.date.created | 2014-07-30 | - |
| dc.date.issued | 2013-10-20 | - |
| dc.description.abstract | This study proposes a method to assess water quality using Geostationary Ocean Color Imager (GOCI) satellite data. Three basic GOCI products including chlorophyll concentration, total suspended sediment, and dissolved organic materials are used to develop an ocean surface water quality index. Machine learning approaches such as random forest and Cubist (i.e., modified regression trees) are used to estimate water quality and develop the ocean surface water quality index. | - |
| dc.identifier.bibliographicCitation | 34th Asian Conference on Remote Sensing 2013, ACRS 2013, v.3, pp.2293 - 2295 | - |
| dc.identifier.isbn | 978-162993910-0 | - |
| dc.identifier.scopusid | 2-s2.0-84903438766 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/46759 | - |
| dc.language | 영어 | - |
| dc.publisher | 34th Asian Conference on Remote Sensing 2013, ACRS 2013 | - |
| dc.title | Development of coastal surface water quality index using geostationary ocean color imager (GOCI) satellite products | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2013-10-20 | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.