article
Passive remote sensing techniques for mapping water depth and bottom features
Applied Optics · 1978 · Vol. 17(3) · pp. 379–379
David R. Lyzenga✉(Environmental Research Institute of Michigan)
Abstract
Ratio processing methods are reviewed, and a new method is proposed for extracting water depth and bottom type information from passive multispectral scanner data. Limitations of each technique are discussed, and an error analysis is performed using an analytical model for the radiance over shallow water.
Remote Sensing and LiDAR ApplicationsRemote-Sensing Image ClassificationRemote Sensing in AgricultureRadianceMultispectral imageRemote sensingOpticsMultispectral ScannerScannerWaves and shallow waterComputer scienceGeologyArtificial intelligence
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