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Ding Yi, Huang Juan, Cui Tingwei, Wan Zhenwen, Zhang Yi, Cao Conghua, Chen Chao, Xiao Yanfang. The decomposition method of MODIS images Enteromorpha mixed pixels based on the relation of NDVI to abundance[J]. Haiyang Xuebao, 2015, 37(7): 123-131.
Citation: Ding Yi, Huang Juan, Cui Tingwei, Wan Zhenwen, Zhang Yi, Cao Conghua, Chen Chao, Xiao Yanfang. The decomposition method of MODIS images Enteromorpha mixed pixels based on the relation of NDVI to abundance[J]. Haiyang Xuebao, 2015, 37(7): 123-131.

The decomposition method of MODIS images Enteromorpha mixed pixels based on the relation of NDVI to abundance

  • Received Date: 2014-09-04
  • Rev Recd Date: 2014-12-08
  • MODIS images are valuable data source generated from operational satellite remote sensing for monitoring Enteromorpha in the Yellow Sea. However,there are large errors inenteromorpha coverage derived on base of NDVI Threshold Method,because of mixed pixels in the coarse resolution(250 m) MODIS images. To solve the problem,this paper,using the near real-time HJ-1 CCD images as reference,the "NDVI-abundance" decomposition of mixed pixel model was established. The developed model can significantly improve the extracted Enteromorpha information. As the method presented here can extract more accurate information,it is speculated to play a significant role in copying with Enteromorpha disasters.
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    http://modis.gsfc.nasa.gov/about/design.php
    http://www.cresda.com/n16/n1130/n1582/8384.html
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