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Remote Sens. 2017, 9(10), 1047; doi:10.3390/rs9101047

Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators

1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Institut für Meereskunde, Universität Hamburg, 20146 Hamburg, Germany
*
Author to whom correspondence should be addressed.
Received: 24 June 2017 / Revised: 26 September 2017 / Accepted: 10 October 2017 / Published: 13 October 2017
(This article belongs to the Special Issue Ocean Remote Sensing with Synthetic Aperture Radar)
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Abstract

We propose new indicators for bivalve (oyster and mussel) beds on exposed intertidal flats, derived from dual-copolarization (HH + VV) TerraSAR-X, Radarsat-2, and ALOS-2 images of the German North Sea coast. Our analyses are based upon the Kennaugh element framework, and we show that different targets on exposed intertidal flats exhibit different radar backscattering characteristics, which manifest in different magnitudes of the Kennaugh elements. Namely, the inter-channel correlation’s real (K3) and imaginary (K7) part can be used to distinguish bivalve beds from surrounding sandy sediments, and together with the polarimetric coefficient (i.e., the normalized differential polarization ratio, K0/K4) they can be used as indicators for bivalve beds using multi-frequency dual-copolarization SAR data. Our results show that continuous bivalve bed monitoring is possible using dual-copolarimetric SAR acquisitions at all radar wavelengths. View Full-Text
Keywords: bivalve beds; intertidal flats; Kennaugh elements; SAR; dual-polarization; multi-frequency bivalve beds; intertidal flats; Kennaugh elements; SAR; dual-polarization; multi-frequency
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, W.; Gade, M.; Yang, X. Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators. Remote Sens. 2017, 9, 1047.

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