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Hyperspectral Remote Sensing of Nearshore Water Quality
Title statement Hyperspectral Remote Sensing of Nearshore Water Quality [electronic resource] : A Case Study in New York/New Jersey / by Sima Bagheri. Publication Cham : Springer International Publishing : Imprint: Springer, 2017. Phys.des. X, 92 p. 40 illus., 38 illus. in color. online resource. ISBN 9783319469492 Edition SpringerBriefs in Environmental Science, ISSN 2191-5547 Contents 1. Introduction -- 2. New York/New Jersey Nearshore waters – A Case Study -- 3 -- In-situ measurements to Establish the Biooptical Model -- 4. Application of Hyperspectral Data -- 5 -- Forward/Biooptical Modeling and Calibration -- 6 -- Inverse Modeling and Validation -- 7 -- Conclusion and Role of Hyperspectral Data in Global Change Research. Notes to Availability Přístup pouze pro oprávněné uživatele Another responsib. SpringerLink (Online service) Subj. Headings Life sciences. * Coasts. * Environmental sciences. * Applied ecology. Form, Genre elektronické knihy electronic books Country Německo Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL book
This 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 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 ecological, economic and recreational resource within the New York metropolitan area. During field campaigns (1998-2001) measurements were made to establish hydrological optical properties of the NY/NJ nearshore waters with concurrent NASA/AVIRIS overflights. The field measurements included: 1) concurrent above and below surface spectral reflectance; 2) shipboard sampling for determination of inherent optical properties (IOP); and 3) concentrations of optically important water quality parameters. Understanding the relationship between reflectance, absorption and scattering is essential for developing the analytical algorithm necessary to use remote sensing as a monitoring /management tool in the nearshore environment.
1. Introduction -- 2. New York/New Jersey Nearshore waters – A Case Study -- 3 -- In-situ measurements to Establish the Biooptical Model -- 4. Application of Hyperspectral Data -- 5 -- Forward/Biooptical Modeling and Calibration -- 6 -- Inverse Modeling and Validation -- 7 -- Conclusion and Role of Hyperspectral Data in Global Change Research.
Number of the records: 1