Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Anton Koros"'
Autor:
Sylvain Lucas, Johnny A. Johannessen, Mathilde Cancet, Lasse H. Pettersson, Igor Esau, Jonathan W. Rheinlænder, Fabrice Ardhuin, Bertrand Chapron, Anton Korosov, Fabrice Collard, Sylvain Herlédan, Einar Olason, Ramiro Ferrari, Ergane Fouchet, Craig Donlon
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2852 (2023)
Polar-orbiting satellite observations are of fundamental importance to explore the main scientific challenges in the Arctic Ocean, as they provide information on bio-geo-physical variables with a denser spatial and temporal coverage than in-situ inst
Externí odkaz:
https://doaj.org/article/bf70a07bf6974e26b90332569cdbb787
Autor:
Edson Silva, François Counillon, Julien Brajard, Anton Korosov, Lasse H. Pettersson, Annette Samuelsen, Noel Keenlyside
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Phytoplankton blooms provide biomass to the marine trophic web, contribute to the carbon removal from the atmosphere and can be deadly when associated with harmful species. This points to the need to understand the phenology of the blooms in the Bare
Externí odkaz:
https://doaj.org/article/3b2572ffc86c488db941c52ac2d2398e
Publikováno v:
Space Biology and Medicine – Volume II, Life Support and Habitability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e6756a4b48b7338c36487e471cefc2a
https://doi.org/10.2514/5.9781624104664.0095.0124
https://doi.org/10.2514/5.9781624104664.0095.0124
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c32ecb5fd61ac135a3b744a49eef879
https://doi.org/10.4271/932041
https://doi.org/10.4271/932041
Autor:
Anton Korosov, Dmitry Pozdnyakov, Robert Shuchman, Michael Sayers, Reid Sawtell, Artem Moiseev
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 3, Pp 72-83 (2018)
With the exception of a few areas, Lake Michigan (LM) is an oligotrophic clear water body. It is predominantly in its littoral zone where ecology-relevant processes unfold due to a variety of natural and anthropogenic forcings arising from the waters
Externí odkaz:
https://doaj.org/article/ce674a49aa284eeab0199dfbbd55d4fc
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 3, Pp 57-71 (2018)
Subsumed under the category of ocean colour (OC) data fusion tools, a new approach is developed to efficiently use the merits of two OC satellite sensors differing in their spatial and spectral resolution characteristics. The tool permits to combine
Externí odkaz:
https://doaj.org/article/6ad8c70ee1e34da2acc8516719a2ca62
Publikováno v:
The Journal of the Acoustical Society of America. 91:2328-2329
Excessive noise can lead to decrements in performance, impaired verbal communication, fatigue, and hearing damage. On the STS‐40/SLS‐1 mission noise levels were evaluated through the use of a questionnaire and two objective measures−in‐flight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79f1a6f89759b9211b5e3b7ae1f7c395
https://doi.org/10.1121/1.403534
https://doi.org/10.1121/1.403534
Autor:
Jeong-Won Park, Hyun-Cheol Kim, Anton Korosov, Denis Demchev, Stefano Zecchetto, Seung Hee Kim, Young-Joo Kwon, Hyangsun Han, Chang-Uk Hyun
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4038 (2021)
Estimating the sea ice drift field is of importance in both scientific study and activities in the polar ocean. Ice motion is being tracked at large scale (10 km and larger) on a daily basis; however, a higher resolution product is desirable for more
Externí odkaz:
https://doaj.org/article/ad26d07a57ac4b1aacd700d14bc7762f
Autor:
Anton Korosov, Dmitry Pozdnyakov, Robert Shuchman, Michael Sayers, Reid Sawtell, Artem Moiseev
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 3, Pp 79-92 (2017)
Озеро Мичиган относится к олиготрофному типу водоемов. Сильнее всего это проявляется в прибрежной зоне, где гидрологический режим вод ф
Externí odkaz:
https://doaj.org/article/f222f4daee764f6e901695a0686b08c1
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2165 (2020)
A new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar (SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on reference ice charts produced by human experts and compared with an e
Externí odkaz:
https://doaj.org/article/881838aee22b4b5cafb7adde3a74dabf