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A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques
Remotely sensed data can reinforce the abilities of water resources researchers and decision makers to monitor waterbodies more effectively. Remote sensing techniques have been widely used to measure the qualitative parameters of waterbodies (i.e., suspended sediments, colored dissolved organic matt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017463/ https://www.ncbi.nlm.nih.gov/pubmed/27537896 http://dx.doi.org/10.3390/s16081298 |
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author | Gholizadeh, Mohammad Haji Melesse, Assefa M. Reddi, Lakshmi |
author_facet | Gholizadeh, Mohammad Haji Melesse, Assefa M. Reddi, Lakshmi |
author_sort | Gholizadeh, Mohammad Haji |
collection | PubMed |
description | Remotely sensed data can reinforce the abilities of water resources researchers and decision makers to monitor waterbodies more effectively. Remote sensing techniques have been widely used to measure the qualitative parameters of waterbodies (i.e., suspended sediments, colored dissolved organic matter (CDOM), chlorophyll-a, and pollutants). A large number of different sensors on board various satellites and other platforms, such as airplanes, are currently used to measure the amount of radiation at different wavelengths reflected from the water’s surface. In this review paper, various properties (spectral, spatial and temporal, etc.) of the more commonly employed spaceborne and airborne sensors are tabulated to be used as a sensor selection guide. Furthermore, this paper investigates the commonly used approaches and sensors employed in evaluating and quantifying the eleven water quality parameters. The parameters include: 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 oxygen demand (COD). |
format | Online Article Text |
id | pubmed-5017463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50174632016-09-22 A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques Gholizadeh, Mohammad Haji Melesse, Assefa M. Reddi, Lakshmi Sensors (Basel) Review Remotely sensed data can reinforce the abilities of water resources researchers and decision makers to monitor waterbodies more effectively. Remote sensing techniques have been widely used to measure the qualitative parameters of waterbodies (i.e., suspended sediments, colored dissolved organic matter (CDOM), chlorophyll-a, and pollutants). A large number of different sensors on board various satellites and other platforms, such as airplanes, are currently used to measure the amount of radiation at different wavelengths reflected from the water’s surface. In this review paper, various properties (spectral, spatial and temporal, etc.) of the more commonly employed spaceborne and airborne sensors are tabulated to be used as a sensor selection guide. Furthermore, this paper investigates the commonly used approaches and sensors employed in evaluating and quantifying the eleven water quality parameters. The parameters include: 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 oxygen demand (COD). MDPI 2016-08-16 /pmc/articles/PMC5017463/ /pubmed/27537896 http://dx.doi.org/10.3390/s16081298 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gholizadeh, Mohammad Haji Melesse, Assefa M. Reddi, Lakshmi A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques |
title | A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques |
title_full | A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques |
title_fullStr | A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques |
title_full_unstemmed | A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques |
title_short | A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques |
title_sort | comprehensive review on water quality parameters estimation using remote sensing techniques |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017463/ https://www.ncbi.nlm.nih.gov/pubmed/27537896 http://dx.doi.org/10.3390/s16081298 |
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