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Remote Sensing Technology and Application  2007, Vol. 22 Issue (3): 361-366    DOI: 10.11873/j.issn.1004-0323.2007.3.361
    
Vegetation Classification Based on MODIS Data and the Accuracy Evaluation in the Pixel Scale
KANG Ling-yan1,2, LEI Yu-ping1, ZHENG Li1, SHU Yun-qiao1,2,ZHANG Qun1,2, SUN Shi-wei1,2
(1.Center for Agricultural Resources Research,Institute of Genetic and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang050021,China;2.The Graduate School of the Chinese Academy of Science,Beijing100049,China)
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Abstract  

MODIS data, with its advantages of high temporal resolution, larger-scale monitoring, free receipt, and convenient and timely obtainment, has become the vital information resource of the land-use research. This research, taking the zone of 38 degree of latitude in Hebei province as the experimental area, calculates the NDVI of MODIS data, according to the regular patterns of the leaf area while they growing, observe the change of the Normalized Difference Vegetation Index (NDVI), establishes the regulation of the classification and derives the area of the main vegetation. Under the support of GIS software, in the factors of area and shape of the region which was abstracted, we evaluated the accuracy of MODIS data classification comparing with TM data classification whose accuracy is 91% in the pixel scale.

Key words:  MODIS      NDVI      LAI      TM     
Received:  27 August 2006      Published:  25 November 2011
TP 79:P 208  
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KANG Ling-yan, LEI Yu-ping, ZHENG Li, SHU Yun-qiao,ZHANG Qun, SUN Shi-wei. Vegetation Classification Based on MODIS Data and the Accuracy Evaluation in the Pixel Scale. Remote Sensing Technology and Application, 2007, 22(3): 361-366.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2007.3.361     OR     http://www.rsta.ac.cn/EN/Y2007/V22/I3/361

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