Paper
22 October 2004 Evaluation of RADARSAT-1 images acquired in fine-beam mode for boreal peatlands: a study in the La Grande River watershed, James Bay, Quebec, Canada
Marie-Josee Racine, Monique Bernier, Taha B.M.J. Ouarda
Author Affiliations +
Abstract
As part of a wider study of carbon cycling in boreal peatlands, radar remote sensing was used with the objective of obtaining diverse environmental information related to these environments. An analysis of multi-temporal Fine beam mode RADARSAT-1 images was carried out, with the support of collected field data, to verify if water table height and volumetric water content influenced radar backscatter coefficient. A maximum likelihood classification (MLC) on speckle filtered and textural images was also carried out, evaluated and compared with a similar classification procedure on Standard beam mode images. Significant changes in water table position and soil moisture have been observed but these were not reflected in radar backscatter coefficient. C-band wavelength, shallow incidence angle and high volumetric water content of peat are some factors that would limit hydrological conditions monitoring with Fine beam mode images. Further analyses have to be done in order to confirm these conclusions. MLC classification using textural images generated from multi-temporal Fine beam mode images brought poorer results than a similar classification using multi-temporal Standard beam mode textural images. This can be explained by the lower radiometric resolution of Fine beam mode images. If only radar imageries are available for boreal peatland mapping, Standard beam mode images should be used, even if they have a lower geometric resolution.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie-Josee Racine, Monique Bernier, and Taha B.M.J. Ouarda "Evaluation of RADARSAT-1 images acquired in fine-beam mode for boreal peatlands: a study in the La Grande River watershed, James Bay, Quebec, Canada", Proc. SPIE 5574, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV, (22 October 2004); https://doi.org/10.1117/12.566884
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image classification

Radar

Backscatter

Image filtering

Soil science

Speckle

Lanthanum

Back to Top