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Using Landsat 8 OLI data to differentiate Sargassum and Ulva prolifera blooms in the South Yellow Sea
- 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.
- Subjects :
- Global and Planetary Change
010504 meteorology & atmospheric sciences
biology
Ulva prolifera
0211 other engineering and technologies
02 engineering and technology
Management, Monitoring, Policy and Law
biology.organism_classification
01 natural sciences
Operational land imager
Algae
Sargassum
Environmental science
Seawater
Computers in Earth Sciences
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Earth-Surface Processes
Remote sensing
Subjects
Details
- ISSN :
- 15698432
- Volume :
- 98
- Database :
- OpenAIRE
- Journal :
- International Journal of Applied Earth Observation and Geoinformation
- Accession number :
- edsair.doi...........59db0b789265c43dcfd579d73badfdf7