The work aimed to estimate the joint possibilities of satellite photometric measurements MODIS-Aqua and multiangle PARASOL polarization measurements for the detection of dust events over the sea surface on the example of a dust storm observed at the Yellow Sea in April 2012. The data analysis of the photometric RGB images and the scatter plots "degree of polarization - phase angle” allowed to identify areas with atmospheric dust at the sea surface and the river outflows of terrigenous substances.
Methods of empirical retrieval of chlorophyll – a and CDOM concentrations from hyperspectral ocean color data were described. We have considered cases of different relations between concentrations of these water constituents. Research area includes Japan Sea, East-China Sea, Okhotsk Sea, Barents Sea, Bering Sea, East-Siberian Sea and Chukchi Sea (water areas of different optical types) during the period from 2009 to 2014. Based on derived field data array, we created the method for building of regional empirical algorithms for concentrations of chlorophyll-a and CDOM retrieval taking into account differences of their contributions into water leaving radiance forming. In a similar manner, we have determined the most suitable spectral channels for the main satellite ocean color scanners. At the same time, we received concentrations of chlorophyll-a and CDOM with a help of tuning the semianalytical model for remote sensing reflectance (Rrs). Afterwards we carried out the quality assurance for the both approaches, comparing to shipboard data.
KEYWORDS: Satellites, Process control, Remote sensing, Fluorometers, Aerosols, Data processing, Databases, Analytical research, Calibration, Control systems
In this study we introduce brief description and the main approaches used in system development. System is
devising with a participation of Pacific Oceanological Institute (FEB RAS), Institute of Automation and Control
Processes (FEB RAS) and also Maritime State University, n.a. G.I. Nevelskoy.
For many years research team of these institutions carried out a lot of field measurements and collected a lot of
remote sensing data, using spectrophotometers, LIDARs, fluorometers. The primary goal of this development – bring all
this data together to integrated database and design user-friendly interface to work with.
“InSitu-Eye” will perform standard routine operations, such as sampling data according to certain parameters;
gridding and timing of data; filtering and quality check of data; visualization. After setting system up and testing it will
provide a benefit. At first it gives 24/7 access to “clean”, checked “in-situ” data, ready for further research. Also
presence of such system gives “converse effect” - it will become necessary to develop strict protocols for measurements
carrying out and increase their quality. In future, “InSitu-Eye” can become a platform, connecting research teams for
data keeping and exchange.
The validity of satellite regional algorithms depends on variability of optical properties of coastal waters and especially
on relationships between concentrations of chlorophyll-a (chlA) and dissolved organic matter (DOM). The subject of the
current researches is the role of characteristics of clusters in chlA - DOM scatter plot while developing of the regional
biooptical algorithm. Regular undersatellite shipboard measurements of chlorophyll-a and DOM concentrations by
means of contemporary laser fluorometer obtained in the various regions of Peter the Great Bay from 2007 to 2010 were
used for the analysis.
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