Sergey Berdnikov
Biographic Data
| ID | 7490656 |
|---|---|
| NAME | Sergey Berdnikov |
| GIVEN NAMES | Sergey |
| FAMILY NAME | Berdnikov |
| SIGNATURE | BERDNIKOV S |
| AFFILIATIONS | Russian Academy of Sciences |
| ORCID | 0000-0002-3095-5532 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 0 |
Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean—the Azov Sea case study
We present here the results of chlorophyll-a (chl-a) concentration estimation using the red and near infrared (NIR) spectral bands of a Hyperspectral Imager for the Coastal Ocean (HICO) in productive turbid waters of the Azov Sea, Russia. During the data collection campaign in the summer of 2010 in Taganrog Bay and the Azov Sea, water samples were collected and concentrations of chl-a were measured analytically. The NIR–red models were tuned to o…
Estimation of chlorophyll- a concentration in case II waters using Modis and Meris data—successes and challenges
We present and discuss here the results of our work using MODIS (moderate resolution imaging spectroradiometer) and MERIS (medium resolution imaging spectrometer) satellite data to estimate the concentration of chlorophyll-a (chl-a) in reservoirs of the Dnieper River and the Sea of Azov, which are typical case II waters, i.e., turbid and productive. Our objective was to test the potential of satellite remote sensing as a tool for near-real-time m…
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Estimation of chlorophyll- a concentration in case II waters using Modis and Meris data—successes and challenges
We present and discuss here the results of our work using MODIS (moderate resolution imaging spectroradiometer) and MERIS (medium resolution imaging spectrometer) satellite data to estimate the concentration of chlorophyll-a (chl-a) in reservoirs of the Dnieper River and the Sea of Azov, which are typical case II waters, i.e., turbid and productive. Our objective was to test the potential of satellite remote sensing as a tool for near-real-time m…
Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean—the Azov Sea case study
We present here the results of chlorophyll-a (chl-a) concentration estimation using the red and near infrared (NIR) spectral bands of a Hyperspectral Imager for the Coastal Ocean (HICO) in productive turbid waters of the Azov Sea, Russia. During the data collection campaign in the summer of 2010 in Taganrog Bay and the Azov Sea, water samples were collected and concentrations of chl-a were measured analytically. The NIR–red models were tuned to o…
Chemistry (2 works) · Chlorophyll a (2 works) · Environmental Science (2 works) · Geology (2 works) · Marine and coastal ecosystems (2 works) · Remote sensing (2 works) · Atmospheric and Environmental Gas Dynamics (1 works) · Atmospheric correction (1 works) · Bay (1 works) · Hyperspectral imaging (1 works)