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Wyświetlanie 1-15 z 540
Tytuł:
33 lata działalności Katedry Geoinformatyki i Teledetekcji Uniwersytetu Warszawskiego, w okolicach Szymbarku (Karpaty)
33 years activity of the Department of Geoinformatics and Remote Sensing University of Warsaw in the Szymbark vicinity (Carpathian Mountains)
Autorzy:
Olędzki, J. R.
Powiązania:
https://bibliotekanauki.pl/articles/132369.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
Katedra Geoinformatyki i Teledetekcji UW
działalność dydaktyczna
działalność naukowa
Departament of Geoinformatics and Remote Sensing UW
didactic activity
scientific activity
Źródło:
Teledetekcja Środowiska; 2008, 40; 149-164
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
3D camera and lidar utilization for mobile robot navigation
Autorzy:
Stefańczyk, M.
Banachowicz, K.
Walęcki, M.
Winiarski, T.
Powiązania:
https://bibliotekanauki.pl/articles/950794.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
mobile robotics
navigation
RGB-D sensing
Opis:
The article presents a navigation system based on 3D camera and laser scanner capable of detecting a wide range of obstacles in indoor environment. First, existing methods of 3D scene data acquisition are presented. Then the new navigation system gathering data from various sensors (e.g. 3D cameras and laser scanners) is described in a formal way, as well as exemplary applications that verify the approach.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 4; 27-33
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A brief analysis of North Sea physics
Autorzy:
Sundermann, J.
Pohlmann, T.
Powiązania:
https://bibliotekanauki.pl/articles/48534.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
biological parameter
chemical parameter
circulation
freshwater budget
marine ecosystem
marine physics
North Sea
physical parameter
remote sensing
storm
tide
Opis:
The current state of understanding the North Sea’s physical system is presented. First, basic phenomena like astronomical tides and general circulation will be described and analysed with respect to their physical nature and respective interactions. There will be special focus on fundamental dynamic balances. Next, some specific topics relevant to the marine ecosystem, the economy and society will be considered: among them, spreading and transport processes, the fresh water budget, the heat budget and storm surges. A separate section is dedicated to the North Sea of Tomorrow, i.e. the prospective variations of the physical environment resulting from global changes in future decades. The statements are based on the long experience of the authors and their groups and include findings that are little known if at all. The review finishes with a list of open questions and the corresponding research demands.
Źródło:
Oceanologia; 2011, 53, 3
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Brief Review of Recent Developments in the Integration of Deep Learning with GIS
Autorzy:
Mohan, Shyama
Giridhar, M.V.S.S
Powiązania:
https://bibliotekanauki.pl/articles/2055781.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
deep learning
GIS
integration
classification
remote sensing
Opis:
The interaction of Deep Learning (DL) methods with Geographical Information System (GIS) provides the opportunity to obtain new insights into environmental processes through the spatial, temporal and spectral resolutions as well as data integration. The two technologies may be connected to form a dynamic system that is incredibly well adapted to the evaluation of environmental conditions through the interrelationships of texture, size, pattern, and process. This perspective has acquired popularity in multiple disciplines. GIS is significantly dependant on processors, particularly for 3D calculations, map rendering, and route calculation whereas DL can process huge amounts of data. DL has received a lot of attention recently as a technology with a plethora of promising results. Furthermore, the growing use of DL methods in a variety of disciplines, including GIS, is evident. This study tries to provide a brief overview of the use of DL methods in GIS. This paper introduces the essential DL concepts relevant to GIS, the majority of which have been published in recent years. This research explores remote sensing applications and technologies in areas such as mapping, hydrological modelling, disaster management, and transportation route planning. Finally, conclusions on contemporary framework methodologies and suggestions for further studies are provided.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 2; 21--38
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A CNN based Hybrid approach towards automatic image registration
Hybrydowe podejście do automatycznej rejestracji obrazu z wykorzystaniem komórkowych sieci neuronowych
Autorzy:
Arun, P. V.
Katiyar, S. K.
Powiązania:
https://bibliotekanauki.pl/articles/145296.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
teledetekcja
metody resamplingu
sieć neuronowa komórkowa
analiza obrazu
rejestracja obrazu
cellular neural network (CNN)
image analysis
image registration
resampling
remote sensing
Opis:
Image registration is a key component of various image processing operations which involve the analysis of different image data sets. Automatic image registration domains have witnessed the application of many intelligent methodologies over the past decade; however inability to properly model object shape as well as contextual information had limited the attainable accuracy. In this paper, we propose a framework for accurate feature shape modeling and adaptive resampling using advanced techniques such as Vector Machines, Cellular Neural Network (CNN), SIFT, coreset, and Cellular Automata. CNN has found to be effective in improving feature matching as well as resampling stages of registration and complexity of the approach has been considerably reduced using corset optimization The salient features of this work are cellular neural network approach based SIFT feature point optimisation, adaptive resampling and intelligent object modelling. Developed methodology has been compared with contemporary methods using different statistical measures. Investigations over various satellite images revealed that considerable success was achieved with the approach. System has dynamically used spectral and spatial information for representing contextual knowledge using CNN-prolog approach. Methodology also illustrated to be effective in providing intelligent interpretation and adaptive resampling.
Rejestracja obrazu jest kluczowym składnikiem różnych operacji jego przetwarzania. W ostatnich latach do automatycznej rejestracji obrazu wykorzystuje się metody sztucznej inteligencji, których największą wadą, obniżającą dokładność uzyskanych wyników jest brak możliwości dobrego wymodelowania kształtu i informacji kontekstowych. W niniejszej pracy zaproponowano zasady dokładnego modelowania kształtu oraz adaptacyjnego resamplingu z wykorzystaniem zaawansowanych technik, takich jak Vector Machines (VM), komórkowa sieć neuronowa (CNN), przesiewanie (SIFT), Coreset i automaty komórkowe. Stwierdzono, że za pomocą CNN można skutecznie poprawiać dopasowanie obiektów obrazowych oraz resampling kolejnych kroków rejestracji, zaś zastosowanie optymalizacji metodą Coreset znacznie redukuje złożoność podejścia. Zasadniczym przedmiotem pracy są: optymalizacja punktów metodą SIFT oparta na podejściu CNN, adaptacyjny resampling oraz inteligentne modelowanie obiektów. Opracowana metoda została porównana ze współcześnie stosowanymi metodami wykorzystującymi różne miary statystyczne. Badania nad różnymi obrazami satelitarnymi wykazały, że stosując opracowane podejście osiągnięto bardzo dobre wyniki. System stosując podejście CNN-prolog dynamicznie wykorzystuje informacje spektralne i przestrzenne dla reprezentacji wiedzy kontekstowej. Metoda okazała się również skuteczna w dostarczaniu inteligentnych interpretacji i w adaptacyjnym resamplingu.
Źródło:
Geodesy and Cartography; 2013, 62, 1; 33-49
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Machine Learning Model for Improving Building Detection in Informal Areas: A Case Study of Greater Cairo
Autorzy:
Taha, Lamyaa Gamal El-deen
Ibrahim, Rania Elsayed
Powiązania:
https://bibliotekanauki.pl/articles/2055780.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
multi-source image fusion
random forest
support vector machine
DEM extraction
unplanned unsafe areas
remote sensing
Opis:
Building detection in Ashwa’iyyat is a fundamental yet challenging problem, mainly because it requires the correct recovery of building footprints from images with high-object density and scene complexity. A classification model was proposed to integrate spectral, height and textural features. It was developed for the automatic detection of the rectangular, irregular structure and quite small size buildings or buildings which are close to each other but not adjoined. It is intended to improve the precision with which buildings are classified using scikit learn Python libraries and QGIS. WorldView-2 and Spot-5 imagery were combined using three image fusion techniques. The Grey-Level Co-occurrence Matrix was applied to determine which attributes are important in detecting and extracting buildings. The Normalized Digital Surface Model was also generated with 0.5-m resolution. The results demonstrated that when textural features of colour images were introduced as classifier input, the overall accuracy was improved in most cases. The results show that the proposed model was more accurate and efficient than the state-of-the-art methods and can be used effectively to extract the boundaries of small size buildings. The use of a classifier ensample is recommended for the extraction of buildings.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 2; 39--58
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A simple model of light transmission through the atmosphere over the Baltic Sea utilising satellite data
Autorzy:
Krezel, A.
Kozlowski, L.
Paszkuta, M.
Powiązania:
https://bibliotekanauki.pl/articles/48356.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
sea surface
Baltic Sea
solar energy
atmosphere
light transmission
satellite remote sensing
aerosol optical thickness
Opis:
A simple spectral model of solar energy input to the sea surface was extended to incorporate space-borne data. The extension involved finding a method of determining aerosol optical thickness (on the basis of AVHRR data) and the influence of cloudiness (on the basis of METEOSAT data) on the solar energy flux. The algorithm for satellite data assimilation involves the analysis of satellite images from the point of view of cloud identification and their classification with respect to light transmission. Solar energy input values measured at the Earth’s surface by traditional methods were used to calibrate and validate the model. Preliminary evaluation of the results indicates a substantial improvement in the accuracy of estimates of solar energy input to the sea surface in relation to models utilising only traditionally obtained data on the state of the atmosphere.
Źródło:
Oceanologia; 2008, 50, 2; 125-146
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Land Cover Change Detection in Oddusuddan DS Division of Mullaitivu District in Sri Lanka Based on GIS and RS Technology
Autorzy:
Pathmanandakumar, V.
Powiązania:
https://bibliotekanauki.pl/articles/1031751.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Change Matrix
Change detection
Geographical Information System & Remote Sensing
Land covers Mapping
Satellite Image Analysis
Opis:
Land cover change analysis between 1997 and 2016 was conducted in Oddusuddan Divisional Secretariat, Mullaitivu District, using remote sensing and geographic information system incorporated with field verifications. Various Satellite images and different digital maps have been used for extracting information. The overall objective of this study was to detect the magnitude of land cover change in Oddusuddan between 1997 and 2016. The methodology of this study was a change detection analysis of satellite imagery with Landsat ETM data. Two dates of Landsat image data of the 1997 and 2016 were used to produce a land cover map. The Maximum Likelihood algorithm was used for supervised classification to detect changes for twenty years. The result showed that during the last twenty years, the forest cover declined from 453.02 km2 in 1997 to 447.14 km2 in 2016. It was noticed that socio-economic factors were the major driving forces for the land cover change.
Źródło:
World News of Natural Sciences; 2020, 29, 3; 198-211
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Sensing (S) and Intuition (N) Personality Characteristics in Selected Business School Students in Gujarat State
Autorzy:
Makwana, Kirti
Powiązania:
https://bibliotekanauki.pl/articles/29552067.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Papieski Jana Pawła II w Krakowie
Tematy:
intuition
sensing
personality
NERIS Type Explorer® Scale
MBTI
Opis:
Personality is one of the utmost important assets of an individual which aids in categorizing the bounds of success, happiness and achievement in our life[1]. The study explores the sensing and intuitive personality dimensions of selected business school students across Gujarat state. Further, the study explores statistical differences in terms of various demographic aspects. NERIS Type Explorer® Scale was used to check the personality type of a total of 1067 management students. 69.5 per cent (742) of the respondents have a Sensing (S) personality dimension compared to 30.5 per cent (325) Intuition (N) personality dimension as dominating type. The conclusions of this research study are also reinforced by past research work which confirms that there are noteworthy differences between Sensing (S) and Intuitive (N) personality dimensions regarding selected demographic variables.
Źródło:
The Person and the Challenges. The Journal of Theology, Education, Canon Law and Social Studies Inspired by Pope John Paul II; 2023, 13, 2; 265-281
2391-6559
2083-8018
Pojawia się w:
The Person and the Challenges. The Journal of Theology, Education, Canon Law and Social Studies Inspired by Pope John Paul II
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Types of Sensors used in Remote Sensing
Autorzy:
Vincent, Shweta
Francis, Sharmila Anand John
Raimond, Kumudha
Kumar, Om Prakash
Powiązania:
https://bibliotekanauki.pl/articles/227262.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
disaster management
microwave sensors
optical sensors
Remote Sensing
Opis:
Of late, the science of Remote Sensing has been gaining a lot of interest and attention due to its wide variety of applications. Remotely sensed data can be used in various fields such as medicine, agriculture, engineering, weather forecasting, military tactics, disaster management etc. only to name a few. This article presents a study of the two categories of sensors namely optical and microwave which are used for remotely sensing the occurrence of disasters such as earthquakes, floods, landslides, avalanches, tropical cyclones and suspicious movements. The remotely sensed data acquired either through satellites or through ground based-synthetic aperture radar systems could be used to avert or mitigate a disaster or to perform a post-disaster analysis.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 2; 217-228
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Time Domain Model of GPR Antenna Radiation Pattern
Autorzy:
Edemsky, F.
Popov, A.
Zapunidi, S.
Powiązania:
https://bibliotekanauki.pl/articles/226318.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
subsurface sensing
ground penetrating radar
electromagnetic pulse radiation
ground-air interface
time-domain Green function
spatio-temporal radiation pattern
inverse problem
deconvolution
Źródło:
International Journal of Electronics and Telecommunications; 2011, 57, 3; 407-411
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A universal architectural pattern and specification method for robot control system design
Autorzy:
Kornuta, T.
Zieliński, C.
Winiarski, T.
Powiązania:
https://bibliotekanauki.pl/articles/200532.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
autonomous agents
control architectures and programming
service robots
range sensing
recognition
grasping
Opis:
The paper presents a universal architectural pattern and an associated specification method that can be applied in the design of robot control systems. The approach a describes the system in terms of embodied agents and proposes a multi-step decomposition enabling precise definition of their inner structure and operation. An embodied agent is decomposed into effectors, receptors, both real and virtual, and a control subsystem. Those entities communicate through communication buffers. The activities of those entities are governed by FSMs that invoke behaviours formulated in terms of transition functions taking as arguments the contents of input buffers and producing the values inserted into output buffers. The method is exemplified by applying it to the design of a control system of a robot executing one of the most important tasks for a service robot, i.e. picking up, by a position-force controlled robot, an object located using an RGB-D image acquired from a Kinect. Moreover in order to substantiate the universality of the presented approach we present how classical, known from the literature, robotic architectures can be expressed as systems composed of one or more embodied agents.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 1; 3-29
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A visual mining based framework for classification accuracy estimation
Podstawy wizualnej eksploracji do szacowania dokładności klasyfikacji
Autorzy:
Arun, P. V.
Powiązania:
https://bibliotekanauki.pl/articles/145456.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
teledetekcja
klasyfikacja obrazu
wizualizacja
data mining
remote sensing
decision tree
image classification
visualization
Weka
Prefuse
Opis:
Classification techniques have been widely used in different remote sensing applications and correct classification of mixed pixels is a tedious task. Traditional approaches adopt various statistical parameters, however does not facilitate effective visualisation. Data mining tools are proving very helpful in the classification process. We propose a visual mining based frame work for accuracy assessment of classification techniques using open source tools such as WEKA and PREFUSE. These tools in integration can provide an efficient approach for getting information about improvements in the classification accuracy and helps in refining training data set. We have illustrated framework for investigating the effects of various resampling methods on classification accuracy and found that bilinear (BL) is best suited for preserving radiometric characteristics. We have also investigated the optimal number of folds required for effective analysis of LISS-IV images.
echniki klasyfikacji są szeroko wykorzystywane w różnych aplikacjach teledetekcyjnych, w których poprawna klasyfikacja pikseli stanowi poważne wyzwanie. Podejście tradycyjne wykorzystujące różnego rodzaju parametry statystyczne nie zapewnia efektywnej wizualizacji. Wielce obiecujące wydaje się zastosowanie do klasyfikacji narzędzi do eksploracji danych. W artykule zaproponowano podejście bazujące na wizualnej analizie eksploracyjnej, wykorzystujące takie narzędzia typu open source jak WEKA i PREFUSE. Wymienione narzędzia ułatwiają korektę pół treningowych i efektywnie wspomagają poprawę dokładności klasyfikacji. Działanie metody sprawdzono wykorzystując wpływ różnych metod resampling na zachowanie dokładności radiometrycznej i uzyskując najlepsze wyniki dla metody bilinearnej (BL).
Źródło:
Geodesy and Cartography; 2013, 62, 2; 113-121
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ability of energy harvesting MR damper to act as a velocity sensor in vibration control systems
Autorzy:
Rosół, Maciej
Sapiński, Bogdan
Powiązania:
https://bibliotekanauki.pl/articles/386981.pdf
Data publikacji:
2019
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
MR damper
energy harvester
self-sensing function
electromotive force
embedded system
algorithm
Opis:
The study investigates the self-sensing ability in an energy harvesting magnetorheological damper (EHMRD). The device consists of a conventional linear MR damper and an electromagnetic harvester. The objective of the work is to demonstrate that the EHMRD with specific self-powered feature can also serve as a velocity sensor. Main components of the device and design structure are summarized and its operation principle is highlighted. The diagram of the experimental set-up incorporating the measurement and processing unit is provided, the experimental procedure is outlined and data processing is discussed. The self-sensing function is proposed whereby the relative velocity of the EHMRD can be reconstructed from the electromotive force (emf) induced in the harvester coil. To demonstrate the adequacy of the self-sensing action (i.e., the induced emf should agree well with the relative velocity), the proposed self-sensing function is implemented and tested in the embedded system that will be a target control platform. Finally, the test results of the system utilizing a switching control algorithm are provided to demonstrate the potentials of the EHMRD acting as a velocity sensor and to confirm its applicability in semi-active vibration control systems.
Źródło:
Acta Mechanica et Automatica; 2019, 13, 2; 135-145
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accuracy of Sea Ice Data from Remote Sensing Methods, its Impact on Safe Speed Determination and Planning of Voyage in Ice-Covered Areas
Autorzy:
Pastusiak, T.
Powiązania:
https://bibliotekanauki.pl/articles/116005.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Ice-Covered Area
Sea Ice Data
Remote Sensing Method
Safe Speed Determination
Route Planning
Voyage Planning
Ice Navigation
Polar Navigation
Opis:
The data related to ice floe concentration and ice thickness were analysed. Sources of data have been verified by visual observation and by comparison in between information from different remote sensing sources. The results of this work exceeded initial expectations. The discrepancies of the information provided by various data sources result from the error of the measurement method, which can be as high as 15% of the concentration of ice floes. It should also be borne in mind that the more generalized information about the state of the ice cover, the lower probability of detection of ice floe patches of a high concentration and spatial extent. Each vessel that is planning voyage in ice should take into consideration inaccurate estimation of concentration and thickness of ice floes received by means of satellite remote sensing methods. The method of determining permissible speed of various ice class vessel in ice on basis of safe speed graph for the icebreaker was developed. A well-defined equation approximates relationship between speed of the icebreaker and the vessels of specified ice classes. Average distance of 24.1 Nm from sea ice extent line was related to all analysed lines representing 30-40% ice floe concentration (IUP product excluded) and 30.6 Nm for analysed lines representing 70-81-91% ice floe concentration. The maximal average distance of the furthest analysed line (IUP product excluded) was equal 37.2 Nm. The average standard deviation of that results was equal 8.3 Nm only. Average distances of analysed lines from sea ice extent line to maximal ice data values were found as follow: 8.4 Nm (23%) for NSIDC-CCAR ice age, 12.3 Nm (33%) for minimal distance of 30-40% ice concentration, 15.4 Nm (41%) for OSISAF ice type “ambiguous” zone from Open Water side, 25 Nm (67%) for minimal distance of 70-81-91% ice concentration, 26.6 Nm (72%) for OSISAF ice type “ambiguous” zone from 1st year ice age side, 35.9 Nm (97%) for maximal distance of 30-40% ice concentration and 36.3 Nm (98%) for maximal distance of 70-81-91% ice concentration data. In the parentheses placed relative distances from first ice data including IUP 40% concentration isolines. Sea ice extent of most of available data sources delineated the edge of “area to be avoided” for vessels of ice class lower than L1. Estimated average speed of L3 ice class vessel was from 3.3 knots till 5.2 knots at average speed 5.0 knots. For L1 ice class vessel estimated average speed was from 6.5 knots till 12.1 knots at average speed 9.7 knots. Relative standard deviation of averaged speed for both ice class vessels was equal 18%. The highest relative deviations were found up to 50% below the average speed value. The highest relative deviations upward were equal 22%. Above speeds for L3 and L1 ice class vessels corresponded well with average technical speed of “Norilsk SA-15” ULA class vessel equal 12,6 knots. The results of the work were not intended to be used for decision making on spot - “on-scene” - during direct guiding vessel in ice. They should be useful for initial voyage planning to allow decision-makers to identify the best freely available data sources for considered voyage and vessel of defined ice class; to understand advantages and limitations of available in the internet data sources; to estimate vessel’s maximal safe speed in encountered ice conditions, to estimate spatial distribution and correlations in between various levels of sea ice concentration and thickness. All above data allow estimate voyage time that is, in addition to fuel consumption, basic criterion of maritime transport economics.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 229-248
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
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