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A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.
Gholizadeh, Mohammad Haji; Melesse, Assefa M; Reddi, Lakshmi.
Afiliación
  • Gholizadeh MH; Department of Civil Engineering, Florida International University, Miami, FL 33174, USA. mhaji002@fiu.edu.
  • Melesse AM; Department of Earth and Environment, Florida International University, Miami, FL 33199, USA. melessea@fiu.edu.
  • Reddi L; Department of Civil Engineering, Florida International University, Miami, FL 33174, USA. lreddi@fiu.edu.
Sensors (Basel) ; 16(8)2016 Aug 16.
Article en En | MEDLINE | ID: mdl-27537896
ABSTRACT
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).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente / Tecnología de Sensores Remotos Tipo de estudio: Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente / Tecnología de Sensores Remotos Tipo de estudio: Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos