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TitreWater extent monitoring and water level estimation using multi-frequency, multi-polarized, and multi-temporal SAR data
AuteurSchmitt, 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
Année2014
Séries alt.Ressources naturelles Canada, Contribution externe 20181140
ÉditeurIEEE
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.1109/IGARSS.2014.6946640
Mediapapier; en ligne; numérique
Formatspdf
Sujetstélédétection; géophysique; Nature et environnement
ProgrammeGéosciences de changements climatiques
Résumé(disponible en anglais seulement)
The 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