DOI: 10.1016/j.jag.2012.12.005
Scopus记录号: 2-s2.0-84880263277
论文题名: Detecting coastline change from satellite images based on beach slope estimation in a tidal flat
作者: Liu Y ; , Huang H ; , Qiu Z ; , Fan J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 165
结束页码: 176
语种: 英语
英文关键词: Beach gradient
; Coastlines
; Remote sensing
; The Yellow River delta
; Volume estimation
Scopus关键词: beach morphology
; coastal erosion
; detection method
; error analysis
; estimation method
; Landsat thematic mapper
; remote sensing
; satellite imagery
; shoreline
; slope dynamics
; tidal flat
; China
; Shandong
; Yellow River Delta
英文摘要: Beach heights and tidal variation have large impacts on the accuracy of estimates ofcoastline position and its historical changes of a wider and flatter beach based on remote sensing data. This study presents an approach to analysis of waterline movement based on the beach slope, estimated from two effective images with Landsat images data. Two images acquired at different stages of the tide were processed to delineate accurately the position of the waterline. Then waterlines were assigned heights using elevations predictedby a two-dimensional non-linear tidal assimilation model. Beach slope can be calculated piecewise using the heighted shorelines based on the equiangular triangle theory. The positions of the national tidal height datum coastline can be obtained by the beach slope calculation method to accurately monitor the changing of coastline. A change in the coastline of the southwest tidal flat of the Yellow River delta, from Tianshuigou to the XiaoqingRiver mouth, was detected by combining field measurements of profiles and bathymetric data. The root mean squared error (RMSE) of the calculated slope of the intertidal zone was one order of magnitude less than the measured slope. The minimum error of self-consistency check is 0.2%. The RMSE between the coastlines estimated by the proposed method and those surveyed data varies from 53.98 m to 217.72 m. It is shown that this method is more suitable for the two years and over the time scales of shoreline change monitoring. To assess erosion/accretion patterns in the tidal flat, and the controlling factors, the volume of the beach was investigated as a possible indicator. The accepted coastline position and changes in the beach volume were used to monitor the changing pattern of accretion and erosion along the coast southwest of the recent Yellow River mouth. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79866
Appears in Collections: 气候变化事实与影响
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作者单位: The Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, 7 Nanhai Rd., Qingdao 266071, China; School of Marine Sciences, Nanjing University of information Science and Technology, 219 Ningliu Rd., Nanjing 210044, China; Meteorological Science Institute of Jiangxi Province, 109 Shengzhengfudayuanbeier Rd., Nanchang 330046, China
Recommended Citation:
Liu Y,, Huang H,, Qiu Z,et al. Detecting coastline change from satellite images based on beach slope estimation in a tidal flat[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)