MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania

Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S., 2010. SLIC Superpixels, EPFL-REPORT-149300. Available online at http://bit.ly/2b599VY. Last accessed: July 2016.Search in Google Scholar

Amarnath, G., Rajah, A., 2015. An evaluation of flood inundation mapping from MODIS and ALOS satellites for Pakistan. Geomatics, Natural Hazards and Risk, 7, 5, 1526–1537.10.1080/19475705.2015.1084953Search in Google Scholar

Bessisa, J.L., Béquignonb, J., Mahmoodc, A., 2004. The International Charter “Space and Major Disasters” initiative. Acta Astronautica, 54, 3, 183–190.10.1016/S0094-5765(02)00297-7Search in Google Scholar

Brakenridge, G., Anderson, E., Nghiem, S., Caquard, S., Shabaneh, T.B., 2003. Flood warnings, flood disaster assessments, and flood hazard reduction: The roles of orbital remote sensing. In: Proc. 30th Int. Symp. on Remote Sensing of Environment, International Center for Remote Sensing of Environment, Honolulu, Hawaii.Search in Google Scholar

Coltin, B., McMichael, S., Smith, T., Fong, T., 2016. Automatic boosted flood mapping from satellite data. International Journal of Remote Sensing, 37, 5, 993–1015.10.1080/01431161.2016.1145366742781232801405Search in Google Scholar

Constantinescu, Ș., Achim, D., Rus, I., Giosan, L., 2015. Embanking the Lower Danube: From natural to engineered floodplains and back. In: Hudson, P., Middelkoop, H. (Eds.): Geomorphic Approaches to Integrated Floodplain Management of Lowland Fluvial Systems in North America and Europe. Springer, New York, pp. 265–288.10.1007/978-1-4939-2380-9_11Search in Google Scholar

Copernicus EMS-Mapping, 2012. Copernicus Emergency Management Service - Mapping. Available online at http://emergency.copernicus.eu. Last accessed August 2016.Search in Google Scholar

Craciunescu, V., Flueraru, C., Anderson, E., Nedelcu, I., Stancalie, G., Irimescu, A., 2009. Mapping and monitoring the 2005–2008 floods in Romania, using remote sensing techniques. Complexul Muzeal Bistrita Nasaud “Studii si Cercetari”: Geology – Geography, Nr. 14, pp. 107–122.Search in Google Scholar

Craciunescu, V., Flueraru, C., Stancalie, G., 2010. The usage of the historical cartographic datasets and the remote sensing data for the better understanding and mapping of the 2006 Danube floods in Romania. Acta Geodaetica et Geophysica Hungarica, 45, 112–119.10.1556/AGeod.45.2010.1.16Search in Google Scholar

Crétaux, J-F., Bergé-Nguyen, M., Leblanc, M., Del Rio, R.A., Delclaux, F., Mognard, N., Lion, C., Pandey, R.K., Tweed, S., Calmant, S., Maisongrande, P., 2011. Flood mapping inferred from remote sensing data. In: Fifteenth International Water Technology Conference, IWTC-15 2011, International Water Technology Association, Alexandria, pp. 48-62.Search in Google Scholar

European Commission, 2003. Best practices on flood prevention, protection and mitigation. Available online at http://bit.ly/1GCbDQX. Last accessed July 2016.Search in Google Scholar

European Commission, 2011. Towards Better Environmental Options for Flood risk management Available online at http://bit.ly/2bbX5zG. Last accessed July 2016.Search in Google Scholar

European Commission, 2014. Natural Water Retention Measures, Technical Report - 2014 – 082, ISBN 978-92-79-44497-5, Available online at http://bit.ly/2aIysMz. Last accessed August 2016.Search in Google Scholar

GLCF MODIS Flood Maps, 2008. Global Land Cover Facility MODIS Flood Maps. Available online at http://glcf.umd.edu/data/flood. Last accessed August 2016.Search in Google Scholar

Islam, A.K., Bala, S.K., Haque, A., 2010. Flood inundation map of Bangladesh using MODIS surface reflectance data. Journal of Flood Risk Management. 3, 3, 210–222.10.1111/j.1753-318X.2010.01074.xSearch in Google Scholar

Jensen, J.R., 2015. Introductory Digital Image Processing: A Remote Sensing Perspective. Pearson. ISBN-13: 9780134058160Search in Google Scholar

Kawak, Y., Iwami, Y., 2014. Nationwide flood inundation mapping in Bangladesh by using modified land surface water index. ASPRS 2014 Annual Conference Louisville, Kentucky, 2014. Available online at http://bit.ly/2aRGRLm. Last accessed August 2016.Search in Google Scholar

Kugler, Z., De Groeve, T., 2007. The Global Flood Detection System. JRC Scientific and Technical Reports. Available online at http://bit.ly/2aD27mK. Last accessed August 2016.Search in Google Scholar

Martinis, S., Twele, A., Strobl, C., Kersten, J., Stein, E., 2013. A multi-scale flood monitoring system based on fully automatic MODIS and TerraSAR-X processing chains. Remote Sensing, 5, 11, 5598–5619.10.3390/rs5115598Search in Google Scholar

McFeeters, S.K., 1996. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int. J. Remote Sens., 17, 1425–1432.10.1080/01431169608948714Search in Google Scholar

McIntyre, N., Thorne, C. (Eds.), 2013. Land use management effects on floods flows and sediments – guidance on prediction. CIRIA, ISBN: 978-0-86017-722-7.Search in Google Scholar

Nichersu, I., 2009. Ecological and Economical Restoration of Danube Floodplain. Available online at http://bit.ly/2bbXoua. Last accessed August 2016.Search in Google Scholar

Neteler, M., 2005. Time Series Processing of MODIS Satellite Data for Landscape Epidemiological Applications. International Journal of Geoinformatics, 1, 1, 133–138.Search in Google Scholar

Nigro, J., Slayback, D., Policelli, F., Brakenridge, G.B., 2014. NASA/DFO MODIS Near Real Time (NRT) Global Flood Mapping Product Evaluation of Flood and Permanent Water Detection. Available online at http://go.nasa.gov/2aS2WuG. Last accessed July 2016.Search in Google Scholar

Park, J., Kwak, Y., 2011. Determination of inundation area based on flood hazard for a global water risk assessment. In: Blöschl, G., Takeuchi, K., Jain, S., Farnleitner, A., Schumann, A. (Eds.): Risk in Water Resources Management. IAHS Publ. 347, Wallingford, pp. 61–64.Search in Google Scholar

Phuong, D.D., Yuei-An, L., Chih-Wei, C., 2015. Detection of flood inundation regions with Landsat/MODIS synthetic data. In: Int. Symp. on Remote Sensing 2015, Taiwan. Available online at http://bit.ly/2b3LIOg. Last accessed August 2016.Search in Google Scholar

Romanian Ministry of Environment and Water Management, 2006. Report on 2006 hydrological events. Available online at http://bit.ly/2b3M8nE. Last accessed October 2015.Search in Google Scholar

Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., 1973. Monitoring vegetation systems in the Great Plains with ERTS. In: Proc. 3rd ERTS Symp., NASA SP-351 I, pp. 309–317.Search in Google Scholar

Schuman, G., Bates, P.D., Horritt, M.S., Matgen, P., Pappenberger, F., 2009. Progress in integration of remote sensing–derived flood extent and stage data and hydraulic models. Rev. Geophys., 47, RG4001. doi: 10.1029/2008RG000274.10.1029/2008RG000274Search in Google Scholar

Sharma, R.C., Tateishi, R., Hara, K., Nguyen, L.V., 2015. Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data. Remote Sens., 7, 13807–13841.10.3390/rs71013807Search in Google Scholar

Sun, D.L., Yu, Y.Y., 2010. Deriving water fraction and flood map with the eos/modis data using regression tree approach. ISPRS TC VII Symposium – 100 Years ISPRS, IAPRS, Vol. XXXVIII, Part 7B.Search in Google Scholar

Ticehurst, C.J., Chen, Y., Karim, F., Dutta, D., Gouweleeuw, B., 2013. Using MODIS for mapping flood events for use in hydrological and hydrodynamic models: Experiences so far. 20th International Congress on Modelling and Simulation, Adelaide, Australia, 2013. Available online at http://bit.ly/2arLm2E. Last accessed August 2016.Search in Google Scholar

Ticehurst, C., Guerschman, J.P., Chen, Y., 2014. The strengths and limitations in using the daily MODIS open water likelihood algorithm for identifying flood events. Remote Sens., 6, 11791–11809.10.3390/rs61211791Search in Google Scholar

Ticehurst, C., Dutta, D., Vaze, J., 2015. A comparison of Landsat and MODIS flood inundation maps for hydrodynamic modelling in the Murray Darling Basin. In: Proc. 21st International Congress on Modelling and Simulation, Gold Coast, Australia. Available online at http://bit.ly/2aD276b. Last accessed July 2016.Search in Google Scholar

UN SPIDER, 2006. United Nations platform for space-based information for disaster management and emergency response. Available online at http://www.un-spider.org. Last accessed August 2016Search in Google Scholar

Wachter, K., 2008. The Analysis of the Danube Floods 2006. Available online at http://bit.ly/2arFM01. Last accessed July 2016.Search in Google Scholar

Xu, H., 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens., 27, 14, 3025–3033.10.1080/01431160600589179Search in Google Scholar

Yamaguchi, Y., Kahle, A.B., Tsu, H., Kawakami, T., Pniel, M., 1998. Overview of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). IEEE Trans. Geosci. Remote Sens., 36, 4, 1062–1071.10.1109/36.700991Search in Google Scholar