Coastal flood risk analysis using landsat-7 ETM+ imagery and SRTM DEM: A case study of Izmir, turkey

被引:48
|
作者
Demirkesen, A. C.
Evrendilek, F. [1 ]
Berberoglu, S.
Kilic, S.
机构
[1] Mustafa Kemal Univ, Dept Landscape Architecture, Antakya, Turkey
[2] Nigde Univ, Dept Geodesy & Photogrammetry Engn, Nigde, Turkey
[3] Cukurova Univ, Dept Landscape Architecture, Balcali, Turkey
[4] Mustafa Kemal Univ, Dept Soil Sci, TR-31034 Antakya, Turkey
关键词
coastal flood risk; supervised classification; sea-level rise; global climate change; DEM; Turkey;
D O I
10.1007/s10661-006-9476-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Intergovernmental Panel on Climate Change (IPCC) reports an acceleration of the global mean sea-level rise (MSLR) in the twentieth century in response to global climate change. If this acceleration remains constant, then some coastal areas are most likely to be inundated by the year 2100. The ability to identify the differential vulnerability of coastlines to future inundation hazards as result of global climate change is necessary for timely actions to be taken. Yildiz et al. (Journal of Mapping, 17, 1 75, 2003) reported that the local MSLR in the city of Izmir rose at a rate of 6.8 +/- 0.9 mm year(-1) between 1984 and 2002. In this study, the spatial distribution of the coastal inundation hazards of Izmir region was determined using not only land-use and land-cover (LULC) types derived from the maximum likelihood classification of Landsat-7 Enhanced Thematic Mapper Plus (ETM+) multi-spectral image set but also the classification of the digital elevation model (DEM) acquired by the shuttle radar topography mission (SRTM). Coastal areas with elevations of 2 and 5 m above mean sea-level vulnerable to inundation were found to cover 2.1 and 3.7% of the study region (6,107 km(2)), respectively. Our findings revealed that Menemen plain along Gediz river, and the settlements of Karsiyaka, Alacati, Aliaga, Candarli and Selcuk are at high risk in order of decreasing vulnerability to permanent and episodic inundation by 2100 under the high MSLR scenarios of 20 to 50 mm year(-1).
引用
收藏
页码:293 / 300
页数:8
相关论文
共 50 条
  • [41] Mapping indicators of riparian vegetation health using IKONOS and landsat-7 ETM+ image data in Australian tropical savannas
    Johansen, K
    Phinn, S
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 1559 - 1562
  • [42] Vicarious Cross-Calibration of the China Environment Satellite Using Nearly Simultaneously Observations of Landsat-7 ETM+ Sensor
    Wenting Quan
    Journal of the Indian Society of Remote Sensing, 2014, 42 : 539 - 548
  • [43] Secondary forest detection in a neotropical dry forest landscape using Landsat 7 ETM+ and IKONOS imagery
    Arroyo-Mora, JP
    Sánchez-Azofeifa, GA
    Kalacska, MER
    Rivard, B
    Calvo-Alvarado, JC
    Janzen, DH
    BIOTROPICA, 2005, 37 (04) : 497 - 507
  • [44] Lithologic identification and characterization using ETM+ (Landsat 7). Study case of the Upsala glacier basin, Argentine
    Vecchio, Lo A.
    Lenzano, M. G.
    Richiano, S.
    Lenzano, L. E.
    REVISTA DE TELEDETECCION, 2016, (46): : 57 - 72
  • [45] LULC classification of landsat-7 ETM+ image from rugged terrain using TC, CA and SOFM neural network
    Gao, Yongnian
    Zhang, Wanchang
    Wang, Jing
    Liu, Chuansheng
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3490 - +
  • [46] Retrieval of aerosol optical thickness using band correlation method and atmospheric correction for Landsat-7/ETM+ image data
    Kawata, Y
    Fukui, H
    Takemata, K
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2173 - 2175
  • [47] Remote sensing interpretation of areas with hydrocarbon microseepage in northeast China using Landsat-7/ETM+ data processing techniques
    Zhang, Guifang
    Zheng, Zhuo
    Shen, Xiaohuo
    Zou, Lejun
    Huang, Kangyou
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (21) : 6695 - 6711
  • [48] Spatiotemporal Built-up Land Density Mapping Using Various Spectral Indices in Landsat-7 ETM+ and Landsat-8 OLI/TIRS (Case Study: Surakarta City)
    Yanuar, Risky S.
    Yogi, Aulia H.
    Widayani, Prima
    5TH GEOINFORMATION SCIENCE SYMPOSIUM 2017 (GSS 2017), 2017, 98
  • [49] Geometric correction and accuracy assessment of Landsat-7 ETM+ and Landsat-5 TM imagery used for vegetation cover monitoring in Queensland, Australia from 1988 to 2007
    Gill, T.
    Collett, L.
    Armston, J.
    Eustace, A.
    Danaher, T.
    Scarth, P.
    Flood, N.
    Phinn, S.
    JOURNAL OF SPATIAL SCIENCE, 2010, 55 (02) : 273 - 287
  • [50] Remote sensing based analysis of urban heat islands with vegetation cover in Colombo city, Sri Lanka using Landsat-7 ETM+ data
    Senanayake, I. P.
    Welivitiya, W. D. D. P.
    Nadeeka, P. M.
    URBAN CLIMATE, 2013, 5 : 19 - 35