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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