| Title | Wetland characterization using polarimetric RADARSAT-2 capability |
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| Author | Touzi, R; Deschamps, A; Rother, G |
| Source | Canadian Journal of Remote Sensing vol. 33, 2007 p. S56-S67, https://doi.org/10.5589/m07-047 |
| Year | 2007 |
| Alt Series | Natural Resources Canada, Contribution Series 20181962 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing |
| Program | Canada Centre for Remote Sensing Divsion |
| Released | 2014 06 02 |
| Abstract | The use of single-polarization (HH) RADARSAT-1 synthetic aperture radar (SAR) data has been shown to be important for wetland water extent characterization. However, the limited capability of the
RADARSAT-1 single-polarization C-band SAR in vegetation type discrimination makes the use of clear-sky-dependent visible near-infrared (VNIR) satellite data necessary for wetland mapping. In this paper, the potential of polarimetric RADARSAT-2 data
for wetland characterization is investigated. The Touzi incoherent decomposition is applied for the roll-invariant decomposition of wetland scattering. In contrast with the Cloude-Pottier decomposition that characterizes target scattering type with a
real entity, ?, the Touzi decomposition uses a complex entity, the symmetric scattering type, for unambiguous characterization of wetland target scattering. It is shown that, like the Cloude ? scattering type, the magnitude ?s of the symmetric
scattering is not effective for vegetation type discrimination. The phase ??s of the symmetric scattering type has to be used for better characterization of wetland vegetation species. The unique information provided by ??s for an improved wetland
class discrimination is demonstrated using Convair-580 polarimetric C-band SAR data collected over the Mer Bleue wetland in the east of Ottawa, Canada. The use of ??s makes possible the discrimination of shrub bog from sedge fen and even permits the
discrimination between conifer-dominated treed bog and upland deciduous forest under leafy conditions. |
| GEOSCAN ID | 312317 |
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