Soil moisture estimation using empirical models upgraded with SOMs on TerraSAR-X data

Konferenz: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
07.06.2010 - 10.06.2010 in Aachen, Germany

Tagungsband: EUSAR 2010

Seiten: 4Sprache: EnglischTyp: PDF

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Kseneman, Matej; Gleich, Dušan (Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia)

For public safety reasons is essential early prediction of natural disasters like floods and landslides, which can be based on soil moisture estimation. Our goal is to evaluate quality of the Dubois and Shi empirical models used in soil moisture parameters retrieved from TerraSAR-X satellite data. In order to compare and validate estimated results, field measurements were compared to estimated values. Results are further improved using Self-organizing map in order to filter out artefacts and fields with inaccurate soil moisture estimation.