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Journal ArticleDOI

Water quality monitoring in estuarine waters using the landsat thematic mapper

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TLDR
In this paper, the authors examined the potential for the satellite-based TM sensor to serve as a regular monitoring tool and concluded that Landsat TM has the resolution and accuracy to be a potentially very useful monitoring tool.
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This article is published in Remote Sensing of Environment.The article was published on 1993-12-01. It has received 146 citations till now. The article focuses on the topics: Thematic Mapper & Secchi disk.

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A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.

TL;DR: The commonly used approaches and sensors employed in evaluating and quantifying the eleven water quality parameters, including chlorophyll-a (chl-a), colored dissolved organic matters (CDOM), Secchi disk depth (SDD), turbidity, total suspended sediments (TSS), water temperature (WT), total phosphorus (TP), sea surface salinity (SSS), dissolved oxygen (DO), biochemical oxygen demand (BOD) and chemical oxygendemand (COD).
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A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters

TL;DR: In this article, 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 (z SD), turbidity, absorption by coloured dissolved organic matter (a CDOM) and other parameters, for example, phycocyanin, is given.
Journal ArticleDOI

A procedure for regional lake water clarity assessment using Landsat multispectral data

TL;DR: In this article, the authors focus on key issues involved in applying satellite imagery to the regional assessment of lake clarity and make recommendations for a Landsat-based procedure for water clarity assessment.
Journal ArticleDOI

Landsat-based Remote Sensing of Lake Water Quality Characteristics, Including Chlorophyll and Colored Dissolved Organic Matter (CDOM)

TL;DR: In this article, the effect of humic color on satellite-inferred water quality conditions was evaluated using ground-based measurements on 15 Minnesota lakes with wide ranges of optical properties and Landsat TM data from the same lakes.
Journal ArticleDOI

A Neural Network Model for Estimating Sea Surface Chlorophyll and Sediments from Thematic Mapper Imagery

TL;DR: In this paper, a neural network is employed to model the transfer function between the chlorophyll and sediment concentrations and the satellite-received radiances, using the three visible Landsat Thematic Mapper bands as inputs.
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