Estimation of Sargassum coverage and its submerged depth within a pixel: a case study for the Yellow sea with GOCI data

Title
Estimation of Sargassum coverage and its submerged depth within a pixel: a case study for the Yellow sea with GOCI data
Author(s)
김원국
Publication Year
2017-04-17
Abstract
In this study, we first make use of normalized difference vegetation index (NDVI) to detect all floating vegetation algae. Since S.horneri has high reflectance in near-infrared (NIR) band, the index shows a positive value. With NDVI only, however, S.horneri detection is challenging in turbid waters because NDVI is elevated by the high NIR signals due to mineral particles in turbid waters. So, in the next step, we employed an anomaly detection technique to increase the detection rate of S.horneri both in clear and turbid waters. Finally, we tried to estimate its coverage and submerged depth within a pixel.owever, S.horneri detection is challenging in turbid waters because NDVI is elevated by the high NIR signals due to mineral particles in turbid waters. So, in the next step, we employed an anomaly detection technique to increase the detection rate of S.horneri both in clear and turbid waters. Finally, we tried to estimate its coverage and submerged depth within a pixel.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24156
Bibliographic Citation
Pacific-Asian Marginal Seas (PAMS) Meeting, pp.1, 2017
Publisher
PAMS
Type
Conference
Language
English
Publisher
PAMS
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