Next Article in Journal
Turbulence Measurement of Vertical Dense Jets in Crossflow
Next Article in Special Issue
Effects of Land Cover Change on Urban Floods and Rainwater Harvesting: A Case Study in Sharjah, UAE
Previous Article in Journal
Public Participation in Science: The Future and Value of Citizen Science in the Drinking Water Research
Previous Article in Special Issue
Extracting Farmland Features from Lidar-Derived DEM for Improving Flood Plain Delineation
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Water 2018, 10(3), 285; https://doi.org/10.3390/w10030285

An Ecological Land Cover Sampling Reclassification Model for Safety Estimation of Shoreline Systems from a Flood Defense Perspective Using Optical Satellite Remote Sensing Imaging

Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
Received: 12 November 2017 / Revised: 28 February 2018 / Accepted: 6 March 2018 / Published: 8 March 2018
View Full-Text   |   Download PDF [9703 KB, uploaded 8 March 2018]   |  

Abstract

The safety level of a shoreline is essential for flood control projects and policy formulation or modification from both economic and environmental perspectives. With the development of remote sensing (RS) techniques, high spatial-spectral resolution and quick-revolution satellite images are now available and widely used in environment monitoring and management. It is therefore possible to more efficiently and conveniently identify the components of, and extract information for, shoreline environments. However, the problem is that the shoreline is always a long curve with a relatively narrow width, which limits the application of RS technology. This paper presents a method of recognizing different types of shoreline and of conveniently extracting the geographical coordinates of potential shoreline defense by analyzing and processing ecological information from an optical satellite RS data interpretation of land cover on both side of the shoreline. An application of this model in a low-resolution image case proved that the model can be used in the primary survey of a shoreline monitoring service platform as the basic tile level. The classification model is designed such that the requirements of image resolution for efficiently extracting information from the shoreline are low and the limitations imposed by a narrow shoreline width are avoided. View Full-Text
Keywords: land cover sampling; shore line identification; optical satellite RS data; edge feature enhancement; shoreline structure; ecological knowledge-oriented reclassification land cover sampling; shore line identification; optical satellite RS data; edge feature enhancement; shoreline structure; ecological knowledge-oriented reclassification
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wu, D.; Xu, H. An Ecological Land Cover Sampling Reclassification Model for Safety Estimation of Shoreline Systems from a Flood Defense Perspective Using Optical Satellite Remote Sensing Imaging. Water 2018, 10, 285.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top