Impact of multiple satellite ocean color samplings in a day on assessing phytoplankton dynamics SCOPUS KCI
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Z.P. | - |
dc.contributor.author | Jiang, M. | - |
dc.contributor.author | Davis, C. | - |
dc.contributor.author | Pahlevan, N. | - |
dc.contributor.author | Ahn, Y.-H. | - |
dc.contributor.author | Ma, R. | - |
dc.date.accessioned | 2020-04-20T07:34:11Z | - |
dc.date.available | 2020-04-20T07:34:11Z | - |
dc.date.created | 2020-01-28 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1738-5261 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/3726 | - |
dc.description.abstract | Ocean-color imagers on conventional polar-orbiting satellites have a revisit time of ~2 days for most regions, which is further reduced if the area is frequently cloudy. The Geostationary Ocean Color Imager (GOCI), the first ocean-color imager on a geostationary satellite, provides measurements 8 times a day, thus significantly improving the frequency of measurements for studies of ocean environments. Here, we use results derived from GOCI measurements over Taihu Lake to demonstrate that the extra sampling can be used to improve the accuracy of statistically averaged longer-term (daily) measurements. Additionally, using numerical simulations, we demonstrate that the coupling of diurnal variations of both biomass and photosynthetic available radiation can improve the accuracy of daily primary production estimates. These results echo that higher sampling frequency can improve our estimates of longer-term dynamics of biogeochemical processes and highlights the value of ocean color measurements from geostationary satellites. © 2012 Korea Ocean Research & Development Institute (KORDI) and the Korean Society of Oceanography (KSO) and Springer Science+Business Media Dordrecht. | - |
dc.description.uri | 3 | - |
dc.language | English | - |
dc.publisher | 한국해양과학기술원 | - |
dc.title | Impact of multiple satellite ocean color samplings in a day on assessing phytoplankton dynamics | - |
dc.type | Article | - |
dc.citation.endPage | 329 | - |
dc.citation.startPage | 323 | - |
dc.citation.title | Ocean Science Journal | - |
dc.citation.volume | 47 | - |
dc.citation.number | 3 | - |
dc.contributor.alternativeName | 안유환 | - |
dc.identifier.bibliographicCitation | Ocean Science Journal, v.47, no.3, pp.323 - 329 | - |
dc.identifier.doi | 10.1007/s12601-012-0031-5 | - |
dc.identifier.scopusid | 2-s2.0-84866974184 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001696087 | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordPlus | accuracy assessment | - |
dc.subject.keywordPlus | biomass | - |
dc.subject.keywordPlus | computer simulation | - |
dc.subject.keywordPlus | diurnal variation | - |
dc.subject.keywordPlus | geostationary satellite | - |
dc.subject.keywordPlus | ocean color | - |
dc.subject.keywordPlus | photosynthetically active radiation | - |
dc.subject.keywordPlus | phytoplankton | - |
dc.subject.keywordPlus | primary production | - |
dc.subject.keywordPlus | sampling | - |
dc.subject.keywordPlus | satellite imagery | - |
dc.subject.keywordPlus | China | - |
dc.subject.keywordPlus | Taihu Lake | - |
dc.subject.keywordAuthor | geostationary | - |
dc.subject.keywordAuthor | ocean color remote sensing | - |
dc.subject.keywordAuthor | phytoplankton dynamics | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |