Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2303-2306, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2303-2306, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

WETLAND CLASSIFICATION FOR BLACK DUCK HABITAT MANAGEMENT USING COMBINED POLARIMETRIC RADARSAT 2 AND SPOT IMAGERY

W. Zhang1, B. Hu1, and G. Brown2 W. Zhang et al.
  • 1Department of Earth and Space Science and Engineering, York University, 4700 Keele St., Toronto, ON, M3J 1P3, Canada
  • 2Wildlife Research and Monitoring Section, Ontario Ministry of Natural Resources& Forestry, Trent 10 University DNA Building, 2140 East Bank Drive, Peterborough, ON, K9L 0G2, Canada

Keywords: Wetlands, Synthetic Aperture Radar, Polarimetric data, Decomposition, Classification

Abstract. The black duck population has decreased significantly due to loss of its breeding habitat. Wetlands are an important feature that relates to habitat management and requires monitoring. Synthetic Aperture Radar (SAR) systems are helpful to map the wetland as the microwave signals are sensitive to water content and can be used to map surface water extent, saturated soils, and flooded vegetation. In this study, RadarSat 2 Polarimetric data is employed to map surface water and track changes in extent over the years through image thresholding and reviewed different approaches of Polarimetric decompositions for detecting flooded vegetation. Also, object-based analysis associated with beaver activity is conducted with combined multispectral SPOT satellite imagery. Results show SAR data has proven ability to improve mapping open water areas and locate flooded vegetation areas.