Titlebook: Hyperspectral Remote Sensing of Nearshore Water Quality; A Case Study in New Sima Bagheri Book 2017 The Author(s) 2017 Hyperspectral.Inver

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encomiast

CURT

Conclusion,essary for water quality management decisions. Remotely sensed data can help to derive water quality variables such as the type and size of suspended particles, toxic algal blooms, and other phytoplankton species that serve as a marker of eutrophication. With increasingly sophisticated sensors, bett

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,New York/New Jersey Nearshore Waters—A Case Study in NY/NJ,ankton blooms ultimately increase oxygen demand on the system leading to episodes of hypoxia. To improve the quality of water and control the problem of excessive fertilization, regular monitoring of water quality is required.

Medley

In-Situ Measurements to Establish the Bio-optical Model, course of the project (1998–2001) to obtain in-situ measurements of subsurface irradiance reflectance R(0?), together with in situ samples, that were later analyzed in the laboratory for their inherent optical properties and bio-optical modeling. The results of the field campaign with emphasis on August 1999 are presented in this chapter.

lanugo

Conclusion,er data and improved algorithms, water quality parameters—phytoplankton can be accurately determined using ocean color data. Information on the role of phytoplankton in the exchange of carbon dioxide between ocean and atmosphere is important since algae have the potential both as an energy source and as a way to deal with global warming.

Infraction

2191-5547 ater quality investigation.Information on the role of phytopThis book provides details on of the utility of hyperspectral remote sensing – NASA/AVIRIS in nearshore water quality issues of NY/NJ. It demonstrates the use of bio optical modeling and retrieval techniques to derive the concentrations of

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Application of Hyperspectral Data,hods such as semi-analytical and analytical methods possible. Producing thematic maps depicting spatial and temporal distribution patterns of optical water quality parameters are based on the image interpretation and calibration for better monitoring and management of water resources.

浮雕

Book 2017 the use of bio optical modeling and retrieval techniques to derive the concentrations of important water quality parameters (chlorophyll, color dissolved organic matter and suspended sediments) in the study area. The case study focuses on the nearshore waters of NY/NJ considered as a valued ecologi