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Wyszukujesz frazę "Koponen, J." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Testing the performance of empirical remote sensing algorithms in the Baltic Sea waters with modelled and in situ reflectance data
Autorzy:
Ligi, M.
Kutser, T.
Kallio, K.
Attila, J.
Koponen, S.
Paavel, B.
Soomets, T.
Reinart, A.
Powiązania:
https://bibliotekanauki.pl/articles/48045.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
remote sensing
algorithm
Baltic Sea
coastal water
chlorophyll a
optical property
phytoplankton assemblage
water reflectance
Opis:
Remote sensing studies published up to now show that the performance of empirical (band-ratio type) algorithms in different parts of the Baltic Sea is highly variable. Best performing algorithms are different in the different regions of the Baltic Sea. Moreover, there is indication that the algorithms have to be seasonal as the optical properties of phytoplankton assemblages dominating in spring and summer are different. We modelled 15,600 reflectance spectra using HydroLight radiative transfer model to test 58 previously published empirical algorithms. 7200 of the spectra were modelled using specific inherent optical properties (SIOPs) of the open parts of the Baltic Sea in summer and 8400 with SIOPs of spring season. Concentration range of chlorophyll-a, coloured dissolved organic matter (CDOM) and suspended matter used in the model simulations were based on the actually measured values available in literature. For each optically active constituent we added one concentration below actually measured minimum and one concentration above the actually measured maximum value in order to test the performance of the algorithms in wider range. 77 in situ reflectance spectra from rocky (Sweden) and sandy (Estonia, Latvia) coastal areas were used to evaluate the performance of the algorithms also in coastal waters. Seasonal differences in the algorithm performance were confirmed but we found also algorithms that can be used in both spring and summer conditions. The algorithms that use bands available on OLCI, launched in February 2016, are highlighted as this sensor will be available for Baltic Sea monitoring for coming decades.
Źródło:
Oceanologia; 2017, 59, 1
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reducing Risks of Arctic Operations with Ice Simulator
Autorzy:
Koponen, J.
Powiązania:
https://bibliotekanauki.pl/articles/117114.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Marine Simulator
Reducing Risk
Arctic Operations
Ice Simulator
Ice Navigation
Full Mission Bridge Simulator (FMBS)
Polar Waters
Icebreaker
Opis:
During the process of development of the Full Mission Bridge Simulator, I have come in to a conclusion that an important part of a successful learning process is the ability to train with a high fidelity bridge simulator. The Polar areas are harsh environments and to survive there, one must have special training and experience. This surviving means that the polar ecosystem will survive from pollution and the vessels and their crew from the bad judgments or misconduct of vessel operators. The most cost-effective way to improve special skills needed in the Polar waters is to include bridge simulator training to the Deck Officers requirements. In this paper I will introduce a real life situation in which an icebreaker assisting a merchant vessel gets into a “close call” situation and how this was handled. Maritime industry hasn’t studied much about the influence simulator training has to the navigators. Here the maritime industry could learn from aviation and medical industry, since they have done some extensive scientific studies to prove the need for simulators.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 3; 385-390
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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