Titre | Wetland characterization using polarimetric RADARSAT-2 capability |
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Auteur | 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 |
Année | 2007 |
Séries alt. | Ressources naturelles Canada, Contribution externe 20181962 |
Éditeur | Informa UK Limited |
Document | publication en série |
Lang. | anglais |
DOI | https://doi.org/10.5589/m07-047 |
Media | papier; en ligne; numérique |
Formats | pdf |
Sujets | télédétection; géophysique |
Programme | Direction du Centre canadien de télédétection |
Diffusé | 2014 06 02 |
Résumé | (disponible en anglais seulement) 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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