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Content Provider | IEEE Xplore Digital Library |
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Author | Xingjian Liu |
Copyright Year | 2011 |
Description | Author affiliation: Key Laboratory for Coast and Island Development, Ministry of Education, Nanjing University Nanjing, China (Xingjian Liu) |
Abstract | The abandoned Yellow River Delta in Jiangsu province has suffered coastal erosion since 1855. In this paper, three Landsat TM images and one Landsat ETM+ over the abandoned Yellow River Delta have been taken advantage to analyze the coastal erosion. The modified normalized difference water index (MNDWI) has been used to extract coastline. The results show that coastal area has decreased progressively since 1989. During the period 1989 to 2007, the average erosion rate in northern delta was higher, being 15.10 m/a. From 1989 to 1995, the erosion rate in river mouth was low, being 8.87 m/a, while after 1995 the erosion rate decreased apparently to be 0.33 m/a. The average erosion rate in the southern delta was about 10.78 m/a before 2001, and increased rapidly after 2001. The main factors for coast erosion over the abandoned Yellow River Delta could be correlated with sediment sources and hydrodynamic conditions. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 226109 |
Page Count | 5 |
File Format | |
ISBN | 9781612848495 |
ISSN | 21610258 |
e-ISBN | 9781612848488 |
DOI | 10.1109/GeoInformatics.2011.5980821 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-24 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Earth Satellites MNDWI Sea measurements Mouth Coast zone Rivers Coastal erosion Sediments The abandoned Yellow River (Huanghe) Delta Remote sensing |
Content Type | Text |
Resource Type | Article |
Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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