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TitleWater extent monitoring and water level estimation using multi-frequency, multi-polarized, and multi-temporal SAR data
AuthorSchmitt, A; Wendleder, A; Roth, A; Brisco, B
SourceIEEE International Geoscience and Remote Sensing Symposium proceedings 6946640, 2014 p. 1175-1178, https://doi.org/10.1109/IGARSS.2014.6946640
Year2014
Alt SeriesNatural Resources Canada, Contribution Series 20181140
PublisherIEEE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; Nature and Environment; remote sensing
ProgramClimate Change Geoscience
AbstractThe monitoring of wetlands and water extents plays more and more an important key role with respect to climate change. In this paper, a novel technique of SAR image preprocessing using multi-temporal, multi-polarized and multisensor data is described. This technique bases on the Kennaugh element framework which is a very versatile polarimetric descriptor on the one hand and enables an effective image enhancement technique on the other hand. The two practical examples given in this paper illustrate further advantages of the Kennaugh element framework in change detection and change characterization used for the monitoring of temporal variations of the water extent and therewith, the water level and the water quantity.
GEOSCAN ID311494