Synthetic　Aperture　Radar　(SAR)　is　anticipated　to　be　the　dominant　high-resolution　remote　sensing　data　source　for　agricultural　applications　in　tropical　and　subtropical　regions　due　to　its　independent　from　cloud　cover.　ENVISAT-I　ASAR　is　the　most　advanced　satellite　radar-imaging　instrument,　its　capabilities　include　beam　steering　for　acquiring　images　with　different　incidence　angle:3,　duel　polarization　and　wide　swath　coverage.　Agricultural　crop　inventory　based　on　remote　sensed　data　will　be　improved　greatly　by　ASAR＇s　new　capabilities.　In　this　paper,　multi-temporal　ASAR　alternative　polarization　data　are　used　for　the　identification　of　rice　crop　in　Fujian　province.　A　procedure　has　been　developed　using　multi-date　ASAR　data　for　rice　crop　identification.　The　procedure　comprises　two　parts:　data　preprocessing　and　classification　of　multi-date　data　for　rice　field.　Some　novel　methods　are　applied　in　image　preprocessing　such　as　correlation　matching　for　image　co-registration　and　multi-channel　filtering　for　speckle　suppression.　Object-oriented　classifier　was　used　for　classification.　By　adopting　the　procedure,　classification　accuracy　of　90%　was　achieved　in　the　test　sites　with　multi-temporal　Envisat　ASAR　data.