current review of empirical procedures of remote sensing in inland and near-coastal transitional waters

The empirical approach of remote sensing has a proven capability to provide timely and accurate information on inland and near-coastal transitional waters. This article gives a thorough review of empirical algorithms for quantitatively estimating a variety of parameters from space-borne, airborne an...

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Bibliographic Details
Published in:International journal of remote sensing 2011-01, Vol.32 (21), p.6855-6899
Main Author: Matthews, Mark William
Format: Article
Language:English
Subjects:
absorption
Airborne sensing
Algorithms
Animal, plant and microbial ecology
Applied geophysics
Bands
Biological and medical sciences
chlorophyll
dissolved organic matter
Earth sciences
Earth, ocean, space
Empirical analysis
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Internal geophysics
Mathematical models
Monitoring
Remote sensing
Remote sensors
Teledetection and vegetation maps
total suspended solids
turbidity
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Summary:The empirical approach of remote sensing has a proven capability to provide timely and accurate information on inland and near-coastal transitional waters. This article gives a thorough review of empirical algorithms for quantitatively estimating a variety of parameters from space-borne, airborne and in situ remote sensors in inland and transitional waters, including chlorophyll-a, total suspended solids, Secchi disk depth (zSD), turbidity, absorption by coloured dissolved organic matter (aCDOM) and other parameters, for example, phycocyanin. Current remote-sensing instruments are also reviewed. The theoretical basis of the empirical algorithms is given using fundamental bio-optical theory of the inherent optical properties (IOPs). Bands, band ratios and band arithmetic algorithms that could be used to produce common biogeophysical products for inland/transitional waters are identified. The article discusses the potential role that empirical algorithms could play alongside more advanced model-based algorithms in the future of water remote sensing, especially for near real-time operational monitoring systems. The article aims to describe the current status of empirical remote sensing in inland and near-coastal transitional waters and provide a useful reference to workers. It does not cover ‘inversion’ algorithms.
ISSN:1366-5901
0143-1161
1366-5901
DOI:10.1080/01431161.2010.512947