Evaluation of the improvement in GOCI Rrs data corrected for the stray light driven radiometric anomaly

DC Field Value Language
dc.contributor.author 이순주 -
dc.contributor.author 김원국 -
dc.contributor.author 안재현 -
dc.date.accessioned 2020-07-15T09:54:01Z -
dc.date.available 2020-07-15T09:54:01Z -
dc.date.created 2020-02-11 -
dc.date.issued 2018-11-05 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/22902 -
dc.description.abstract Compared to the atmospheric signal, signals from ocean is small and, therefore, is more susceptible for any radiometric anomalies in the data. So, the inter-slot radiometric discrepancy (ISRD), which is meant radiometric inconsistency between the adjacent slots, is clearer in remote sensing reflectance (Rrs) than in top of atmosphere (TOA) radiance. This research analyzes radiometric inconsistency between the adjacent slots in Rrs data of GOCI, which is retrieved from L1B TOA radiance using the correction of inter-slot radiometric discrepancy using the minimum noise fraction transform, namely CIDUM. GDPS 1.6 is used for the atmospheric correction. The effect of horizontal ISRD is mitigated in all slot images and the differences between upper- and bottom- slots becomes close to 0 in band 4 through 8. With the NIR band accuracy of L1B product improved by SLRI correction algorithm, the available Rrs data increase by 2~18% in each band than before using the correction algorithm. 106 -
dc.description.uri 1 -
dc.language English -
dc.publisher Pan Ocean Remote Sensing Conference Association -
dc.relation.isPartOf PORSEC 2018 -
dc.title Evaluation of the improvement in GOCI Rrs data corrected for the stray light driven radiometric anomaly -
dc.type Conference -
dc.citation.conferencePlace US -
dc.citation.endPage 106 -
dc.citation.startPage 106 -
dc.citation.title PORSEC 2018 -
dc.contributor.alternativeName 이순주 -
dc.contributor.alternativeName 김원국 -
dc.contributor.alternativeName 안재현 -
dc.identifier.bibliographicCitation PORSEC 2018, pp.106 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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