Analysis of coastal changes using remote sensing and geographical information systems in the Gulf of Izmit, Turkey

被引:0
作者
Dilara Ciritci
Tarık Türk
机构
[1] Sivas Cumhuriyet University,Department of Geomatics Engineering
[2] Faculty of Engineering,undefined
来源
Environmental Monitoring and Assessment | 2020年 / 192卷
关键词
GIS; Coastline; Change detection; Digital shoreline analysis system;
D O I
暂无
中图分类号
学科分类号
摘要
The shoreline is constantly under the influence of physical elements, such as geomorphological events, earthquakes, and tectonic movements. In recent years, it has been changing due to the intensive use of coasts and the impact of human factors on coastal areas. This study’s aim was to analyze the coastal change in the Gulf of Izmit, Turkey, using satellite images from different dates. In this context, coastal changes were analyzed in a 95% confidence interval by the end point rate (EPR), linear regression rate (LRR), and weighted linear regression (WLR) statistical methods, after the automatic extraction of shorelines from Landsat satellite images of 17 periods belonging to different dates between 1975 and 2017 in four different scenarios. Furthermore, the effects of the destructive earthquake (Mw, 7.4), which caused the loss of many lives and property in the Gulf of Izmit on August 17, 1999, were also examined in detail.
引用
收藏
相关论文
共 60 条
  • [1] Addo KA(2008)Detection, measurement and prediction of shoreline recession in Accra, Ghana ISPRS Journal of Photogrammetry & Remote Sensing 63 543-558
  • [2] Walkden M(2018)Estimation of seasonal morpho-sedimentary changes at headland bound and exposed beaches along South Maharashtra, west coast of India Environmental Earth Sciences 77 604-26
  • [3] Mills JP(2017)The effect of minimum noise fraction data input on success of artificial neural network in lithological mapping of a magmatic terrain with ASTER data; A case study from SE Iran Remote Sensing Applications Society and Environment 7 21-243
  • [4] Arockiaraj S(2019)Automatic detection of shoreline change by geographical information system (GIS) and remote sensing in the Göksu Delta, Turkey Journal of the Indian Society of Remote Sensing 47 233-1255
  • [5] Kankara RS(1997)On forecasting future U.S. shoreline positions—A test of algorithms Journal of Coastal Research 13 1245-744
  • [6] Udhaba Dora G(1991)Temporal analysis of shoreline recession and accretion Journal of Coastal Research 7 723-13
  • [7] Sathish S(2017)A directed matched filtering algorithm (DMF) for discriminating hydrothermal alteration zones using the ASTER remote sensing data International Journal of Applied Earth Observation and Geoinformation 61 1-131
  • [8] Ayoobi I(2019)Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis ISPRS Journal of Photogrammetry and Remote Sensing 149 119-105
  • [9] Tangestani MH(2007)The predictive accuracy of shoreline change rate methods and alongshore beach variation on Maui, Hawaii Journal of Coastal Research 23 87-204
  • [10] Ciritci D(1963)İzmit Körfezi Kuzey Kıyılarının Jeomorfolojisi Türk Coğrafya Dergisi 22 187-233