Abstract

Bathymetric mapping will be most straightforward where water quality and atmospheric conditions are invariant over the scene. Under these conditions, both depth and an effective attenuation coefficient of the water over several different bottom types may be retrieved from passive, multispectral imagery. As scenes become more complex—with changing water type and variable atmospheric conditions—it is probable that a strictly spectral analysis will no longer be sufficient to extract depth from multispectral imagery. In these cases an independent source of information will be required. The most likely sources for such information are spatial and temporal variations in image data.

© 1989 Optical Society of America

Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data

Yongming Liu, Ruru Deng, Yan Qin, Bin Cao, Yeheng Liang, Yingfei Liu, Jianlin Tian, and Shuailei Wang
Appl. Opt. 58(27) 7538-7551 (2019)

Passive remote sensing techniques for mapping water depth and bottom features

David R. Lyzenga
Appl. Opt. 17(3) 379-383 (1978)

Satellite-derived bathymetry integrating spatial and spectral information of multispectral images

Ningning Li, Qiuhua Tang, Yilan Chen, Zhipeng Dong, Jie Li, and Xuancheng Fu
Appl. Opt. 62(8) 2017-2029 (2023)

Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables

Curtis D. Mobley, Lydia K. Sundman, Curtiss O. Davis, Jeffrey H. Bowles, Trijntje Valerie Downes, Robert A. Leathers, Marcos J. Montes, William Paul Bissett, David D. R. Kohler, Ruth Pamela Reid, Eric M. Louchard, and Arthur Gleason
Appl. Opt. 44(17) 3576-3592 (2005)

Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters

Kevin George Ruddick, Fabrice Ovidio, and Machteld Rijkeboer
Appl. Opt. 39(6) 897-912 (2000)