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The Application of ASTER Data in Cotton Information Classification—Taking Farm of Nongyishi of Production and Construction Group as An Example |
LIU Meicen 1, LI Xia 2, JIANG Pinan 1, Sheng Jandong 1
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1.College of Resources and Environmental Science, Xinjiang Agricultural University, Urumqi 830052, China;
2.College of Forestry Science,Xinjiang Agricultural University, Urumqi 830052, China |
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Abstract Using ASTER image in autumn of 2001, 2003 and 2004 and combining the corresponded land investigation data and including geometric correction of the images in ERDAS, Cotton field and cotton breed(land cotton and long staplecotton) information were extracted for 16 farm of Nongyishi of Production and Construction Group in Xinjiang based on the maximum likelihood classification. The result shows that the precision of extraction of cotton filed area reaches 98.21%. The result of classification of cotton breed shows: The actual area of long staplecotton is 2 964 hectare and its area of classification is 2 768.72 hectare, the precision of classification reaches 93.97%. The actual area of land cotton is 2 375.5 hectare and its area of classification is 2 556.74 hectare, the precision of classification reaches 92.91%. These results make a better foundation for large area crop estimates of cotton.
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Received: 14 July 2005
Published: 17 November 2011
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