GIS OSTRAVA 2017: Dynamics in GIscience pp 71-80 | Cite as
Automatic Detection and Monitoring of Cyanobacterial Blooms in the Context of the Marine Cadastre
Abstract
In the wake of the European and global spatial data infrastructures (SDI) it is important to build information systems which use and serve thematic data in compliance with the INSPIRE Directive. In the context of hydrographic data, the Directive requires EU member states to collect and share information on maritime areas divided into regions and sub-regions, as well as coastal zone management areas. These data are part of recently developed marine cadastres. According to the INSPIRE Directive the marine cadastres should be supplemented with information on the physical condition of the seas as well as on the specific natural characteristics and phenomena occurring in the seas. The latter can include dynamic information on marine pollution such as cyanobacterial blooms. The paper presents the concept of dynamic satellite-based cyanobacteria bloom detection for the purpose of its analysis in the context of marine cadastre.
Keywords
Marine cadastre SDI Cyanobacteria AVHRR Geovisual analyticsNotes
Acknowledgements
The MODIS image used in this paper has been obtained from the NASA OceanColor website.
References
- Ahn, Y.-H., Bricaud, A., & Morel, A. (1992). Light backscattering efficiency and related properties of some phytoplankters. Deep-Sea Research, 39, 1835–1855.CrossRefGoogle Scholar
- Barry, M., Elema, I., & van der Molen, P. (2003). Ocean governance and the marine cadastre: The Netherlands North Sea. Geomatica, 57(3), 313–325.Google Scholar
- Bruniecki K., Chybicki A., Dadić V., Grzetić Z., Ivanković D., Kulawiak M., et al. (2015) The concept of INSPIRE directive implementation for marine administration in Poland. In: GIS and Water Resources. Croatian Information Technology Society, GIS Forum.Google Scholar
- Chen, Y., & Dai, J. (2008). Extraction methods of cyanobacteria bloom in Lake Taihu based on RS data (in Chinese with English abstract). Journal of Lake Science, 20, 179–183.CrossRefGoogle Scholar
- Dawidowicz, A., & Źróbek, R. (2014) Multipurpose water-marine cadastre in Poland—The directions of development. Acta Adriatica, 55(2), 127–144 (December 2014), ISSN 0001–5113. http://jadran.izor.hr/acta/pdf/55_2_pdf/55_2_4.pdf
- Directive 2007/2/WE of the European Parliament and Council, of March 14th 2007, establishing the Infrastructure of Spatial Information in the European Community (INSPIRE) (OJ L 108, 25.4.2007, pp. 1–14),Google Scholar
- Dodds, W. K., Bouska, W. W., Eitzmann, J. L., Pilger, T. J., Pitts, K. L., Riley, A. J., et al. (2009). Eutrophication of U.S. freshwaters: Analysis of potential economic damages. Environmental Science and Technology, 43(1), 12–19.CrossRefGoogle Scholar
- Fowler, C., & Treml, E. (2001). Building a marine cadastral information system for the United States—A case study. Computers, Environment and Urban Systems, 25(4), 493–507.CrossRefGoogle Scholar
- Gower, J., Hu, C., Borstad, G., & King, S. (2006). Ocean color satellites show extensive lines of floating Sargassum in the Gulf of Mexico. IEEE Transactions on Geoscience and Remote Sensing, 44(12), 3619–3625.CrossRefGoogle Scholar
- Havens, K. E. (2007). Cyanobacteria blooms: Effects on aquatic ecosystems. In H. K. Hudnell (Ed.), Proceedings of the Interagency, International Symposium on Cyanobacterial Harmful Algal Blooms (ISOC-HAB): State of the Science and Research Needs (pp. 733–747). New York: Springer.Google Scholar
- Hu, C. (2009). A novel ocean color index to detect floating algae in the global oceans. Remote Sensing of Environment, 113(10), 2118–2129.CrossRefGoogle Scholar
- Hu, C., & He, M. X. (2008). Origin and offshore extent of floating algae in Olympic sailing area. Eos, Transactions American Geophysical Union, 89(33), 302–303.CrossRefGoogle Scholar
- Hu, C., Lee, Z., Ma, R., Yu, K., Li, D., & Shang, S. (2010) Moderate resolution imaging spectroradiometer (MODIS) observations of cyanobacteria blooms in Taihu Lake, China. Journal of Geophysical Research: Oceans (1978–2012), 115(C4).Google Scholar
- Kahru, M., Leppänen, J. M., & Rud, O. (1993). Cyanobacterial blooms cause heating of the sea surface. Marine Ecology Progress Series, 101, 1–7.CrossRefGoogle Scholar
- Kahru, M. (1997). Using satellites to monitor large-scale environmental changes: a case study of cyanobacterial blooms in the Baltic Sea. Monitoring algal blooms: new techniques for detecting large-scale environmental changes (pp. 43–61). Heidelberg Berlin: Springer.Google Scholar
- Kahru, M., Savchuk, O. P., & Elmgren, R. (2007). Satellite measurements of cyanobacterial bloom frequency in the Baltic Sea: interannual and spatial variability. Marine Ecology Progress Series, 343, 15–23.CrossRefGoogle Scholar
- Kahru, M., & Elmgren, R. (2014). Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea. Biogeosciences, 11(13), 3619–3633.CrossRefGoogle Scholar
- Klapper, H. (1991). Control of eutrophication in inland waters. Chichester, UK: Ellis Horwood Ltd.Google Scholar
- Kraak, M.-J. (2004). The role of the map in a Web-GIS environment. Journal of Geographical Systems, 6, 83–93.CrossRefGoogle Scholar
- Kulawiak, M. (2016). Operational algae bloom detection in the Baltic Sea using GIS and AVHRR data. Baltica, 29(1), 3–18. doi: 10.5200/baltica.2016.29.02.CrossRefGoogle Scholar
- Lehtimäki, J., Moisander, P., Sivonen, K., & Kononen, K. (1997). Growth, nitrogen fixation, and nodularin production by two Baltic Sea cyanobacteria. Applied Environmental Microbiology, 63(5), 1647–1656.Google Scholar
- Oyama, Y., Matsushita, B., & Fukushima, T. (2014). Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM+ shortwave infrared bands. Remote Sensing of Environment, 157, 35–57.Google Scholar
- Pitois, S., Jackson, M. H., & Wood, B. J. B. (2000). Problems associated with the presence of cyanobacteria in recreational and drinking waters. International Journal of Environmental Health Research, 10(3), 203–218.CrossRefGoogle Scholar
- Sivonen, K., Kononen, K., Carmichael, W. W., Dahlem, A. M., Rinehart, K. L., Kiviranta, J., et al. (1989). Occurrence of the hepatotoxic cyanobacterium Nodularia spumigena in the Baltic Sea and structure of the toxin. Applied Environmental Microbiology, 55(8), 1990–1995.Google Scholar
- Srebro, H., Fabrikant, I., & Marom, O. (2010, April). Towards a Marine Cadastre in Israel. In FIG Congress (p. 17).Google Scholar
- Stewart, I., Webb, P. M., Schluter, P. J., Fleming, L. E., Burns, J. W., Gantar, M., et al. (2006). Epidemiology of recreational exposure to freshwater cyanobacteria—An international prospective cohort study. BMC Public Health, 6(1), 93.CrossRefGoogle Scholar
- Strain, L., Rajabifard, A., & Williamson, I. (2006). Marine administration and spatial data infrastructure. Marine Policy, 30(4), 431–441.CrossRefGoogle Scholar
- Sutherland, M., Cockburn, S., & Nichols, S. (2004). Toward a 3D marine cadastre in support of good ocean governance: A review of the technical framework requirements. Computers, Environment and Urban Systems, 28(5), 443–470.CrossRefGoogle Scholar
- Sutherland, M., & Nichols, S. (2004). The evolving role of hydrography in ocean governance and the concept of a Marine Cadastre. Hydrographic Journal, 13–17.Google Scholar