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Using Landsat 8 OLI data to differentiate Sargassum and Ulva prolifera blooms in the South Yellow Sea

Authors :
Shengqiang Wang
Yijun He
Zhihua Mao
Deyong Sun
Zhongfeng Qiu
Ying Chen
Hailong Zhang
Source :
International Journal of Applied Earth Observation and Geoinformation. 98:102302
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

A novel remote sensing algorithm was developed based on Landsat 8 Operational Land Imager (OLI) data to separately recognize concurrent Sargassum and Ulva prolifera in the South Yellow Sea. This algorithm has three main steps: 1) classification of macroalgae-containing pixels from normal seawater pixels by means of a mature floating algae index (FAI) approach; 2) first-round separate recognition of the Sargassum and Ulva prolifera targets using a newly developed “Sargassum and Ulva prolifera Index I (SUI-I)” method; and 3) further fine identification of the algae by applying another new index (SUI-II) to the above output. The validation of our developed algorithm generated high and satisfactory predictive accuracies. The present study concludes that the Landsat 8 OLI data have great potential for detecting and distinguishing the mixed growth of Sargassum and Ulva prolifera, which will help in closely monitoring macroalgae blooms in oceanic waters.

Details

ISSN :
15698432
Volume :
98
Database :
OpenAIRE
Journal :
International Journal of Applied Earth Observation and Geoinformation
Accession number :
edsair.doi...........59db0b789265c43dcfd579d73badfdf7