Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

The Analysis of ETM Image's Spectral and Its Implication on Water Depth Inversion iniamen Bay

Authors
Zhang Xiaodong, Zhu Shouxian, Zeng Wenhua, Zhang Wenjing
Corresponding Author
Zhang Xiaodong
Available Online August 2013.
DOI
10.2991/rsete.2013.211How to use a DOI?
Keywords
Water depth inversion; Remote sensing; ETM; Xiamen Bay
Abstract

Dual-spectra ratio method is generally considered superior to single-spectra approach in the most previous studies for water depth inversion by ETM image. In this paper, the correlation between the ETM’s spectral and the water depth is analyzed. TM2 gives the largest absolute correlation index in all the single-spectra and dual-spectral ratio. Then some models using linear, logarithmic, power exponential and exponential equations have been made for water depth inversion. The exponential model based on TM2 is proved to be the best one, and it brings error of 24.6%.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.211
ISSN
1951-6851
DOI
10.2991/rsete.2013.211How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhang Xiaodong
AU  - Zhu Shouxian
AU  - Zeng Wenhua
AU  - Zhang Wenjing
PY  - 2013/08
DA  - 2013/08
TI  - The Analysis of ETM Image's Spectral and Its Implication on Water Depth Inversion iniamen Bay
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 871
EP  - 874
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.211
DO  - 10.2991/rsete.2013.211
ID  - Xiaodong2013/08
ER  -