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Remote Sensing Technology and Application  2010, Vol. 25 Issue (3): 328-333    DOI: 10.11873/j.issn.1004-0323.2010.3.328
article     
Monitoring the Spring Sowing Progress in Beijing with Multi-temporal Landsat TM and “Beijing-1”Micro-satellite Images
QI La1,2,HUANG Wen-jiang2,CHEN Ling1,WANG Ji-hua2,WANG Jin-di1
1.School of Geography and Remote Sensing,Beijing Normal University,Beijing 100875,China;
2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China
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Abstract  

The normalized distance between the means was firstly calculated,the phenological spectral differences of multi-crop were investigated by the stepwise discriminations analysis method,the decision tree method and the mask technology were employed to monitor the planting areas of spring-sown crops on 28th May and 28th June,using remote sensing images acquired on 26th April,28th May and 28th June 2007,then the areas in counties were computed with the administrate boundaries,last,the accuracy validations were made based on ground truth interpreting points.The results showed that the classification accuracy on 28th May is 84.5% and that on 28th June is 88.0%.The stepwise discriminations analysis was testified to be more suitable to built classification rule and improve the multi\|crop classification accuracy based on multi\|temporal images.

Key words:  Multi-temporal      The normalized distance between the means      Stepwise discriminations analysis      Spring sown progress     
Published:  20 October 2010
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QI La
HUANG Wen-jiang
CHEN Ling
WANG Ji-hua
WANG Jin-di

Cite this article: 

QI La, HUANG Wen-jiang, CHEN Ling, WANG Ji-hua, WANG Jin-di. Monitoring the Spring Sowing Progress in Beijing with Multi-temporal Landsat TM and “Beijing-1”Micro-satellite Images. Remote Sensing Technology and Application, 2010, 25(3): 328-333.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.3.328     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I3/328

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