Special Section on Aquatic Remote Sensing Applications in Environmental Monitoring and Management

Kelp forest mapping by use of airborne hyperspectral imager

[+] Author Affiliations
Zsolt Volent

SINTEF Fisheries and Aquaculture

Geir Johnsen

Norwegian University of Science and Technology

Fred Sigernes

The University Centre in Svalbard

J. Appl. Remote Sens. 1(1), 011503 (December 26, 2007). doi:10.1117/1.2822611
History: Received April 8, 2007; Revised August 21, 2007; Accepted September 5, 2007; December 26, 2007; Online December 26, 2007
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Abstract

We present an easy and efficient approach for remote sensing of ocean color, relevant for monitoring and management of kelp forest and bottom substrate with a cheap custom made hyperspectral imager. Remote sensing of ocean color was performed in the Kongsfjord, Spitsbergen (79 deg N and 12 deg E) from an airplane (2950 m altitude) equipped with a hyperspectral imager, giving monochromatic images (425-825 nm) using the push broom technique, captured with custom designed software in 5 nm steps. Synchronously in situ measurements of upwelling spectral irradiance, (Eu>(λ))(λ = 350-950 nm) measured at 30 cm depth were performed as a reference for the remotely sensed images. Surface water samples were taken for enumeration and identification of organic (plankton), inorganic particles, and colored dissolved organic matter. For identification and classification of kelp and bottom substrate, Bayesian supervised classification and a differential histogram equalization technique were used and compared. Both techniques gave successful discrimination between kelp and bottom substrate in shallow water above the Secchi depth (<19 m). The imager could easily be implemented for other applications such as detection and monitoring of phytoplankton blooms, suspended matter, and colored dissolved organic matter in surface waters, especially in connection with environmental and aquaculture management.

© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Zsolt Volent ; Geir Johnsen and Fred Sigernes
"Kelp forest mapping by use of airborne hyperspectral imager", J. Appl. Remote Sens. 1(1), 011503 (December 26, 2007). ; http://dx.doi.org/10.1117/1.2822611


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