SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA

SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA

Bathymetry is a key variable in ocean monitoring and measurement research. It becomes more and more important for development of rapid method to invert shallow sea water depth. In this study, a water depth inversion method based on multi-band model is established to analyze the relationship between...

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Main Authors: D. J. Zhang, J. Zhan, C. X. Wang, G. Q. Zhou
Format: Article
Language:English
Published: Copernicus Publications 2020-02-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/941/2020/isprs-archives-XLII-3-W10-941-2020.pdf
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spelling doaj-587d64db36d54634ad766e0124668a4c2020-11-24T21:57:25ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-02-01XLII-3-W1094194310.5194/isprs-archives-XLII-3-W10-941-2020SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEAD. J. Zhang0J. Zhan1C. X. Wang2G. Q. Zhou3School of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaGuangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin, 541004, ChinaBathymetry is a key variable in ocean monitoring and measurement research. It becomes more and more important for development of rapid method to invert shallow sea water depth. In this study, a water depth inversion method based on multi-band model is established to analyze the relationship between different bands of Landsat 8 OLI multi-spectral and measured data. The average absolute error of the model is 1.48m at 10–20m water depth and the average relative error is 13.12%. The water depth inversion accuracy under normal conditions are achieved, indicating that the model will have a promising practical application in the future.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/941/2020/isprs-archives-XLII-3-W10-941-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. J. Zhang
J. Zhan
C. X. Wang
G. Q. Zhou
spellingShingle D. J. Zhang
J. Zhan
C. X. Wang
G. Q. Zhou
SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet D. J. Zhang
J. Zhan
C. X. Wang
G. Q. Zhou
author_sort D. J. Zhang
title SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA
title_short SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA
title_full SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA
title_fullStr SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA
title_full_unstemmed SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA
title_sort shallow bathymetry estimation based on landsat 8 remotely sensed dataat bohai sea
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2020-02-01
description Bathymetry is a key variable in ocean monitoring and measurement research. It becomes more and more important for development of rapid method to invert shallow sea water depth. In this study, a water depth inversion method based on multi-band model is established to analyze the relationship between different bands of Landsat 8 OLI multi-spectral and measured data. The average absolute error of the model is 1.48m at 10–20m water depth and the average relative error is 13.12%. The water depth inversion accuracy under normal conditions are achieved, indicating that the model will have a promising practical application in the future.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/941/2020/isprs-archives-XLII-3-W10-941-2020.pdf
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AT jzhan shallowbathymetryestimationbasedonlandsat8remotelysenseddataatbohaisea
AT cxwang shallowbathymetryestimationbasedonlandsat8remotelysenseddataatbohaisea
AT gqzhou shallowbathymetryestimationbasedonlandsat8remotelysenseddataatbohaisea
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