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- W1662724219 abstract "A time series of nine ERS-1 SAR images of the MARS sample site Seville. four SPOT XS images and ground surveys of 17 MARS segments all from 1992 have been available for the study. Preliminary masks of non-agricultural areas derived from thematic maps are refined by multi-temporal. unsupervised classification of optical satellite data. Stratification was performed using visual interpretation of SPOT data for refining macro-structural units of the region around Seville extracted from relevant literature. During preliminary investigations it turned out, that significance of supervised classification is limited due to limitations of the available ground truth. A robust. transferable approach is presented, which allows to retrieve crop types/single crops from ERS-I SAR data on the base of unsupervised clustering. The recombination of clusters to classes is performed using ancillary knowledge (e.g. local agricultural practice. parcel structure). The method is detailed with the example of a single stratum. Application to the other strata of the Seville site proved functionality of the method. There are significant indications. that ERS-1 SAR data could be used as complement or substitute to optical satellite data. With regard to the operational needs of the MARS project the potential for an operationalisation of the approach seems to be high." @default.
- W1662724219 created "2016-06-24" @default.
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- W1662724219 date "1997-01-01" @default.
- W1662724219 modified "2023-09-26" @default.
- W1662724219 title "Classification of ERS-1 SAR data over Seville (Spain) for agricultural statistics" @default.
- W1662724219 hasPublicationYear "1997" @default.
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