Hyperspectral Remote Sensing of Nearshore Water Quality

A Case Study in New York/New Jersey
1. Auflage 2017
ISBN: 978-3-319-46947-8
Verlag: Springer International Publishing

Buch, Englisch, 92 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1897 g

Reihe: SpringerBriefs in Environmental Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Bagheri, Sima

Fachgebiete

• Geowissenschaften Umweltwissenschaften Angewandte Ökologie
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Geographie | Raumplanung Deltas, Flussmündungen, Küstenregionen

Inhaltsverzeichnis

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.

Über Autor(innen)

Sima Bagheri is professor of civil and environmental engineering at University Heights, New Jersey Institute of Technology, with research focus on establishing remote sensing as an operational management tool in assessing the quality of New Jersey's nearshore waters. She has been recommended as an author and editor by Prof. Klemas, Marine Studies, University of Delaware, and SWS member. He also reviewed her proposal.