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Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters
- Source :
- Remote Sensing, Vol 11, Iss 19, p 2297 (2019), Remote Sensing; Volume 11; Issue 19; Pages: 2297
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- The European Space Agency’s Copernicus satellites Sentinel-2 and Sentinel-3 provide observations with high spectral, spatial, and temporal resolution which can be used to monitor inland and coastal waters. Such waters are optically complex, and the water color may vary from completely clear to dark brown. The main factors influencing water color are colored dissolved organic matter, phytoplankton, and suspended sediments. Recently, there has been a growing interest in the use of the optical water type (OWT) classification in the remote sensing of ocean color. Such classification helps to clarify relationships between different properties inside a certain class and quantify variation between classes. In this study, we present a new OWT classification based on the in situ measurements of reflectance spectra for boreal region lakes and coastal areas without extreme optical conditions. This classification divides waters into five OWT (Clear, Moderate, Turbid, Very Turbid, and Brown) and shows that different OWTs have different remote sensing reflectance spectra and that each OWT is associated with a specific bio-optical condition. Developed OWTs are distinguishable by both the MultiSpectral Instrument (MSI) and the Ocean and Land Color Instrument (OLCI) sensors, and the accuracy of the OWT assignment was 95% for both the MSI and OLCI bands. To determine OWT from MSI images, we tested different atmospheric correction (AC) processors, namely ACOLITE, C2RCC, POLYMER, and Sen2Cor and for OLCI images, we tested AC processors ALTNNA, C2RCC, and L2. The C2RCC AC processor was the most accurate and reliable for use with MSI and OLCI images to estimate OWTs.
- Subjects :
- sentinel-2 msi
010504 meteorology & atmospheric sciences
reflectance
Science
Multispectral image
Remote sensing reflectance
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
remote sensing
optical water type
Phytoplankton
14. Life underwater
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Atmospheric correction
Reflectivity
sentinel-3 olci
Colored dissolved organic matter
13. Climate action
Ocean color
Temporal resolution
General Earth and Planetary Sciences
Environmental science
Sentinel-3 OLCI
Sentinel-2 MSI
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 11
- Issue :
- 19
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....69bca4e0e51389a11e2c28b9cfe88c48