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Remote Sens. 2015, 7(6), 7615-7645; doi:10.3390/rs70607615

A Collection of SAR Methodologies for Monitoring Wetlands

1
Canada Centre for Mapping and Earth Observations, Natural Resources Canada, 560 Rochester Street, Ottawa, ON K1A 0Y7, Canada
2
Science and Technology Branch, Environment Canada, Government of Canada, 4905 Dufferin Street, Toronto, ON M3H 5T4 Canada
3
Land Surface Applications (LAX), German Remote Sensing Centre (DFD), German Aerospace Center (DLR), Obserpfaffenhofen, D-82234 Wessling, Germany
4
Ducks Unlimited Canada, 1 Mallard Bay at Hwy 220, P.O. Box 1160, Stonewall, MB R0C 2Z0, Canada
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Alisa L. Gallant and Prasad S. Thenkabail
Received: 17 January 2015 / Revised: 12 May 2015 / Accepted: 22 May 2015 / Published: 9 June 2015
(This article belongs to the Special Issue Towards Remote Long-Term Monitoring of Wetland Landscapes)
View Full-Text   |   Download PDF [7010 KB, uploaded 9 June 2015]   |  

Abstract

Wetlands are an important natural resource that requires monitoring. A key step in environmental monitoring is to map the locations and characteristics of the resource to better enable assessment of change over time. Synthetic Aperture Radar (SAR) systems are helpful in this way for wetland resources because their data can be used to map and monitor changes in surface water extent, saturated soils, flooded vegetation, and changes in wetland vegetation cover. We review a few techniques to demonstrate SAR capabilities for wetland monitoring, including the commonly used method of grey-level thresholding for mapping surface water and highlighting changes in extent, and approaches for polarimetric decompositions to map flooded vegetation and changes from one class of land cover to another. We use the Curvelet-based change detection and the Wishart-Chernoff Distance approaches to show how they substantially improve mapping of flooded vegetation and flagging areas of change, respectively. We recommend that the increasing availability SAR data and the proven ability of these data to map various components of wetlands mean SAR should be considered as a critical component of a wetland monitoring system. View Full-Text
Keywords: synthetic aperture radar; wetlands; mapping; image thresholding; polarimetric decompositions; curvelet-based change detection; Wishart-Chernoff distance synthetic aperture radar; wetlands; mapping; image thresholding; polarimetric decompositions; curvelet-based change detection; Wishart-Chernoff distance
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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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MDPI and ACS Style

White, L.; Brisco, B.; Dabboor, M.; Schmitt, A.; Pratt, A. A Collection of SAR Methodologies for Monitoring Wetlands. Remote Sens. 2015, 7, 7615-7645.

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