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Processing of marine satellite data in a web-based GIS

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Geographic Information Systems (GIS) are an excellent tool for integrating various types of spatial information. They provide functionalities which allow for quick analysis and correlation of various types of data in a geographical context. The paper presents a Webbased GIS dedicated for integration and analysis of marine data from satellite imagery. The system operates with the use of automatic image processing procedures, which allow for detection of several different characteristics such as surface temperature or the existence and location of blooming algae. The system correlates the processing results with information from other sources, including vessel movement acquired from the Automatic Identification System, as well as results of oil spill simulation. The paper presents the architecture of the system as well as sample layers produced by the employed algorithms.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
135--144
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • Gdansk University of Technology Narutowicza 11/12, 80-233 Gdansk, Poland
autor
  • Gdansk University of Technology Narutowicza 11/12, 80-233 Gdansk, Poland
autor
  • Gdansk University of Technology Narutowicza 11/12, 80-233 Gdansk, Poland
Bibliografia
  • [1] A. M. Maceachren, & M.-J. Kraak. (1997). Exploratory cartographic visualization: Advancing the agenda. Computers & Geosciences 23 (4), 335-343.
  • [2] S. Doyle, M. Dodge , & A. Smith, (1998). The potential of Web-based mapping and virtual reality technologies for modelling urban environments. Computer, Environment and Urban Systems 22 (2), 137-155.
  • [3] J. L. Goodall, B. F. Robinson, A. M. Castronova (2011). Modeling water resource systems using a service-oriented computing paradigm. Environmental Modelling & Software 26 (5), 573-582.
  • [4] M.-H. Tsou (2004). Integrating Web-based GIS and image processing tools for environmental monitoring and natural resource management. Journal of Geographical Systems, 6, 155-174.
  • [5] M.-J. Kraak, 2004. The role of the map in a Web-GIS environment. Journal of Geographical Systems 6, 83-93.
  • [6] M. Rao, G., Fan, J. Thomas, Cherian, G., Chudiwale, V., Awawdeh, M., 2007. A webbased GIS Decision Support System for managing and planning USDA’s Conservation Reserve Program (CRP). Environmental Modelling & Software 22, 1270-1280.
  • [7] É.Ó. Tuama, T. Hamre, 2007. Design and Implementation of a Distributed GIS Portal for Oil Spill and Harmful Algal Bloom Monitoring in the Marine Environment. Marine Geodesy 30, 145-168.
  • [8] T. Hamre, H. Krasemann, S. Groom, D. Dunne, G. Breitbach, B. Hackett, K. Sørensen, S. Sandven, 2009. Interoperable web GIS services for marine pollution monitoring and forecasting. Journal of Coastal Conservation 13 (1), 1-13.
  • [9] M. Kulawiak, A. Chybicki, M. Moszynski, Web-based GIS as a tool for supporting marine research, Marine Geodesy Volume 33, Issue 2 & 3, p. 135-153, Taylor & Francis, 2010a.
  • [10] M. Kulawiak, M. Moszynski, Integration of Geographic Information Systems for Monitoring and Dissemination of Marine Environment Data Geospatial Techniques for Managing Environmental Resources, Springer, p. 33-52, 2011.
  • [11] A. Chybicki, M. Kulawiak, Z. Lubniewski, M. Luba, M. Moszynski, J. Dabrowski, GIS for Remote Sensing, Analysis and Visualization of Marine Pollution and Other Marine Ecosystem Components, Proceedings of 2008 1st International Conference on Information Technology, 223–226.
  • [12] G. Andrienko, N. Andrienko, P. Jankowski, D. Keim, M.J. Kraak, A. MacEachren, S. Wrobel, Geovisual analytics for spatial decision support: Setting the research agenda, International Journal of Geographical Information Science, vol. 21, pp. 839–857, 2007
  • [13] M. Kulawiak, A. Prospathopoulos, L. Perivoliotis, M. Luba, S. Kioroglou, A. Stepnowski, Interactive visualization of marine pollution monitoring and forecasting data via a Web-based GIS Computers & Geosiciences Volume 36, Issue 8, p. 1069-1080, 2010b.
  • [14] C. Schmidt OpenLayers: Free Maps for the Web. 2008 http://www.openlayers.org, [Accessed 20.03.2013].
  • [15] F. Alawadi, Detection of surface algal blooms using the newly developed algorithm surface algal bloom index (SABI), School of Ocean and Earth Science, University of Southampton,Waterfront Campus, Empress Dock, Southampton, S014 3ZH, UK.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-68c5c9e1-6b99-4d2d-8815-19ebd4f568e3
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