Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Vladislav Saprygin"'
Autor:
V.S. Gerasyuk, V.V. Povazhnyi, V.V. Kulygin, L.V. Dashkevich, S.V. Berdnikov, Vladislav Saprygin
Publikováno v:
STUDIES OF THE SOUTHERN SCIENTIFIC CENTRE OF THE RUSSIAN ACADEMY OF SCIENCES. 8:149-164
Autor:
N. I. Bulysheva, A.V. Kleshchenkov, V.S. Gerasyuk, G. Yu. Glushchenko, Vladislav Saprygin, V. V. Kulygin, S. V. Berdnikov, L. V. Dashkevich, K. V. Kreneva
Publikováno v:
Водные биоресурсы и среда обитания. 2:7-23
HICO-Based NIR–Red Models for Estimating Chlorophyll- $a$ Concentration in Productive Coastal Waters
Autor:
Wesley J. Moses, Ellen J. Wagner, Vasiliy Povazhnyi, Vladislav Saprygin, Jeffrey H. Bowles, Karen W. Patterson, S. V. Berdnikov, Anatoly A. Gitelson
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 11:1111-1115
We present here results that demonstrate the potential of near-infrared (NIR)-red models to estimate chlorophyll- a (chl- a) concentration in coastal waters using data from the spaceborne Hyperspectral Imager for the Coastal Ocean (HICO). Since the r
Autor:
Vladislav Saprygin, S. V. Berdnikov, Victoria Gerasyuk, Wesley J. Moses, V. Povazhnyy, Anatoly A. Gitelson
Publikováno v:
Environmental Research Communications. 1:011002
We present here results that demonstrate the potential of the recently launched Ocean and Land Colour Instrument (OLCI) onboard the satellite Sentinel-3A to deliver accurate estimates of chlorophyll-a (chl-a) concentration in coastal waters using ref
Publikováno v:
Remote Sensing of Environment. 121:118-124
We present here results that strongly support the use of MERIS-based NIR-red algorithms as standard tools for estimating chlorophyll- a (chl- a ) concentration in turbid productive waters. The study was carried out as one of the steps in testing the
Autor:
Wesley J. Moses, Jeffrey H. Bowles, Ellen J. Wagner, Karen W. Patterson, Vasiliy Povazhnyi, Anatoly A. Gitelson, S. V. Berdnikov, Vladislav Saprygin
Publikováno v:
WHISPERS
We present here results that strongly support the use of NIR-red algorithms, developed based on the spectral channels of MERIS, as standard tools for estimating chlorophyll-a (chl-a) concentration in turbid productive waters. We used an extensive set
Publikováno v:
Environmental Research Letters. 6:024023
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