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Remote sensing estimation of colored dissolved organic matter (CDOM) from GOCI measurements in the Bohai Sea and Yellow Sea
- Source :
- Environmental Science and Pollution Research. 27:6872-6885
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Colored dissolved organic matter (CDOM) is the main constituent of dissolved organic matter (DOM), also a key indicator of water quality conditions. Accurate estimation of CDOM is essential for understanding biogeochemical processes and ecosystems in marine waters. The use of remote sensing to derive the changes in CDOM is vital technology that can be used to dynamically monitor the marine environment and to document the spatiotemporal variations in CDOM over a large scale. In the present study, we develop a simple approach to estimate the CDOM concentrations based on the in situ datasets from four cruise surveys over the Bohai Sea (BS) and Yellow Sea (YS). Eight band combination forms (using Xi as a delegate, where i denotes the numerical order of band combination forms), including single bands, band ratios, and other band combinations by remote sensing reflectance, Rrs(λ), were trained to test the correlations with the CDOM concentrations. The obtained results indicated that X7, i.e., [Rrs(443) + Rrs(555)]/[Rrs(443)/Rrs(555)], was the optimal form, with correlation coefficient (R) values of 0.904 (p
- Subjects :
- In situ
Biogeochemical cycle
Correlation coefficient
Health, Toxicology and Mutagenesis
Water Pollution
Color
General Medicine
010501 environmental sciences
01 natural sciences
Pollution
Geostationary Ocean Color Imager
Colored dissolved organic matter
Water Quality
Remote Sensing Technology
Dissolved organic carbon
Environmental Chemistry
Environmental science
Satellite
Water quality
Algorithms
Ecosystem
Environmental Monitoring
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 16147499 and 09441344
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research
- Accession number :
- edsair.doi.dedup.....b3d7e41dbc496f7766686a3ba9d15647