Literature DB >> 20548701

Bathymetric mapping with passive multispectral imagery.

W D Philpot.   

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.

Entities:  

Year:  1989        PMID: 20548701     DOI: 10.1364/AO.28.001569

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  5 in total

1.  Spectrally driven classification of high spatial resolution, hyperspectral imagery: a tool for mapping in-stream habitat.

Authors:  Carl J Legleiter
Journal:  Environ Manage       Date:  2003-09       Impact factor: 3.266

2.  4SM: A Novel Self-Calibrated Algebraic Ratio Method for Satellite-Derived Bathymetry and Water Column Correction.

Authors:  Yann G Morel; Fabio Favoretto
Journal:  Sensors (Basel)       Date:  2017-07-21       Impact factor: 3.576

3.  Direct measurements of ice-shelf flexure caused by surface meltwater ponding and drainage.

Authors:  Alison F Banwell; Ian C Willis; Grant J Macdonald; Becky Goodsell; Douglas R MacAyeal
Journal:  Nat Commun       Date:  2019-02-13       Impact factor: 14.919

4.  Large interannual variability in supraglacial lakes around East Antarctica.

Authors:  Jennifer F Arthur; Chris R Stokes; Stewart S R Jamieson; J Rachel Carr; Amber A Leeson; Vincent Verjans
Journal:  Nat Commun       Date:  2022-03-31       Impact factor: 14.919

5.  Testing of the 4SM Method in the Gulf of California Suggests Field Data Are not Needed to Derive Satellite Bathymetry.

Authors:  Fabio Favoretto; Yann Morel; Andrew Waddington; Jorge Lopez-Calderon; Marco Cadena-Roa; Anidia Blanco-Jarvio
Journal:  Sensors (Basel)       Date:  2017-09-30       Impact factor: 3.576

  5 in total

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