Research on Information Semi-quantitation of Estuarine Flow Pattern Based on TM Remote Sensing Image
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    Abstract:

    On the basis of preliminary judging the tide situation by tidal level, the streamline was interpreted, the flow direction was extracted and the flow velocity was represented from the Landsat TM images by the texture characteristic analysis method, such as the Gabor filtering and texture entropy calculation, then the semi-quantitative interpretation of the flow pattern was realized. The results were validated by the numerical model Mike21_FM and the average root-mean-square error(RMSE) of the flow direction of flood and ebb was 9.33°, the average fitness of flow velocity classification was 73.1%. It indicates that the remote sensing interpretation of the estuarine flow pattern by the texture characteristic analysis method to semi-quantitative flow pattern information is feasible and innovative.

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乔远英,程和琴,宋泽坤,吴帅虎,杨忠勇.基于TM遥感影像的河口流态信息半定量化研究[J].水土保持通报英文版,2014,(5):118-123

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History
  • Received:August 27,2013
  • Revised:September 27,2013
  • Adopted:
  • Online: April 05,2016
  • Published: