Next Article in Journal
Minimizing the Residual Topography Effect on Interferograms to Improve DInSAR Results: Estimating Land Subsidence in Port-Said City, Egypt
Previous Article in Journal
Influence of Ecological Factors on Estimation of Impervious Surface Area Using Landsat 8 Imagery
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(7), 750; doi:10.3390/rs9070750

Bathymetry of the Coral Reefs of Weizhou Island Based on Multispectral Satellite Images

1,2,3
,
1,2,3,* , 1,2,3
,
1,2,3
,
4
and
1,2,3
1
Coral Reef Research Centre of China, Guangxi University, Nanning 530004, China
2
Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Guangxi University, Nanning 530004, China
3
School of Marine Sciences, Guangxi University, Nanning 530004, China
4
Institute of Complexity Science and Big Data Technology, Guangxi University, Nanning 530004, China
*
Author to whom correspondence should be addressed.
Received: 26 May 2017 / Revised: 13 July 2017 / Accepted: 18 July 2017 / Published: 21 July 2017
(This article belongs to the Section Ocean Remote Sensing)
View Full-Text   |   Download PDF [5929 KB, uploaded 21 July 2017]   |  

Abstract

Shallow water depth measurements using multispectral images are crucial for marine surveying and mapping. At present, relevant studies either depend on the use of other auxiliary data (such as field water depths or water column data) or contain too many unknown variables, thus making these studies suitable only for images that contain enough visible wavebands. To solve this problem, a Quasi-Analytical Algorithm (QAA) approach is proposed in this paper for estimating the water depths around Weizhou Island by developing a QAA to estimate the diffuse attenuation coefficients and simplifying the parameterization of the bathymetric model. The approach contains an initialization sub-approach and a novel global adjustment sub-approach. It is not only independent of other auxiliary data but also greatly reduces the number of unknowns. Experimental results finally demonstrated that the Root Mean Square Errors (RMSEs) were 1.01 m and 0.77 m for the ZY-3 image and the WorldView-3 (WV-3) image, respectively, so the approach is competitive to other QAA bathymetric methods. Besides, the global adjustment sub-approach was also seen to be superior to common smoothing filters: if the Signal-to-Noise Ratio (SNR) is as low as 42, i.e., ZY-3, it can smooth the water depths and improve the accuracies, otherwise can avoid the over-smoothing of water depths. View Full-Text
Keywords: water depth; coral reef; multispectral image; bathymetry; adjustment water depth; coral reef; multispectral image; bathymetry; adjustment
Figures

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 alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Huang, R.; Yu, K.; Wang, Y.; Wang, J.; Mu, L.; Wang, W. Bathymetry of the Coral Reefs of Weizhou Island Based on Multispectral Satellite Images. Remote Sens. 2017, 9, 750.

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]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top