Historic flood events in NE Romania (post-1990)
作者： Gheorghe Romanescu , Catalin I. Cimpianu , Alin Mihu-Pintilie , Cristian C. Stoleriu
DOI: 10.1080/17445647.2017.1383944
关键词: Hydrology 、 Geography 、 Hazard 、 Physical geography 、 Scale (map) 、 Data archive 、 Satellite imagery 、 Romanian 、 Flood myth 、 Remote sensing (archaeology) 、 Drainage basin
摘要: ABSTRACTUsing open-source satellite imagery like Landsat TM, ETM+ and Sentinel 2 can lead to accurate cartographic products. We mapped flood events from Siret Prut river basins in the last 30 years based on availability of data archive. In this area were recorded historical values flow rates for entire Romanian territory: 4650 m³/s River 2005 – maximum value ever Romania; 4240 m³/s 2008 second Romania. The most powerful floods that took place Romania 1970, 1975, 1991, 2005, 2008, 2010 2011. study four are distinguished by particularly characteristics: 2010. Developing geo-hydrological hazard maps adequate analysis at an appropriate scale as quickly possible is extremely important economic social point view.
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sci-hub.se 参考文章(58)
Haiyong Ding, Andrew J. Elmore, Spatio-temporal patterns in water surface temperature from Landsat time series data in the Chesapeake Bay, U.S.A. Remote Sensing of Environment. ,vol. 168, pp. 335- 348 ,(2015) , 10.1016/J.RSE.2015.07.009
Gheorghe Romanescu, Cristian Stoleriu, An inter‐basin backwater overflow (the Buhai Brook and the Ezer reservoir on the Jijia River, Romania) Hydrological Processes. ,vol. 28, pp. 3118- 3131 ,(2014) , 10.1002/HYP.9851
Fleur Visser, Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester Journal of Maps. ,vol. 10, pp. 276- 288 ,(2014) , 10.1080/17445647.2014.893847
E.J. Tebbs, J.J. Remedios, D.M. Harper, Remote sensing of chlorophyll-a as a measure of cyanobacterial biomass in Lake Bogoria, a hypertrophic, saline―alkaline, flamingo lake, using Landsat ETM + Remote Sensing of Environment. ,vol. 135, pp. 92- 106 ,(2013) , 10.1016/J.RSE.2013.03.024
Gareth Ireland, Michele Volpi, George Petropoulos, Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood Remote Sensing. ,vol. 7, pp. 3372- 3399 ,(2015) , 10.3390/RS70303372
Jin-kang Du, Xue-zhi Feng, Zhou-long Wang, Yong-sheng Huang, Elnazir Ramadan, The methods of extracting water information from spot image Chinese Geographical Science. ,vol. 12, pp. 68- 72 ,(2002) , 10.1007/S11769-002-0073-1
J.R. Otukei, T. Blaschke, Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms International Journal of Applied Earth Observation and Geoinformation. ,vol. 12, pp. 27- 31 ,(2010) , 10.1016/J.JAG.2009.11.002
Conghe Song, Curtis E. Woodcock, Karen C. Seto, Mary Pax Lenney, Scott A. Macomber, Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? Remote Sensing of Environment. ,vol. 75, pp. 230- 244 ,(2001) , 10.1016/S0034-4257(00)00169-3
Wenbo Li, Zhiqiang Du, Feng Ling, Dongbo Zhou, Hailei Wang, Yuanmiao Gui, Bingyu Sun, Xiaoming Zhang, A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI Remote Sensing. ,vol. 5, pp. 5530- 5549 ,(2013) , 10.3390/RS5115530
Naomi Morris, Low-Cost Remote Sensing and GIS for Regional Disaster Risk Reduction, North West Costa Rica Journal of Maps. ,vol. 4, pp. 23- 38 ,(2008) , 10.1080/JOM.2008.9711032