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REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (3) : 36-40     DOI: 10.6046/gtzyyg.2010.03.08
Technology and Methodology |
The Estimation of Crop Leaf Area Index in Consideration of Texture Characteristics of SAR
GAO Shuai 1,2, NIU Zheng 1, LIU Xiang 3, WU Chao-yang 1,2
1.State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate School of Chinese Academy of Sciences, Beijing 100049, China; 3. Beijing Oriental TITAN Technology Co., Ltd, Beijing 100083, China
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The authors studied the feasibility of estimating Leaf Area Index (LAI) of the crop by using intensity and texture characteristics of SAR, and analyzed the texture characteristics of SAR which have relatively high correlation with LAI. In this study, six texture characteristics calculated from ENVISAT-ASAR image were selected and compared with measured LAI of the corn. The results show that the texture characteristics of HH polarization for gray level co-occurrence matrix have higher correlation with the LAI of corn than those of VV polarization. Dissimilarity of HH polarization and skewness and homogeneity of VV polarization are significantly related to LAI. In combination with backscattering coefficient, multiple regressions of two formulae were computed respectively, and the correlation coefficients are 0.68 for HH polarization and 0.87 for VV polarization. It is thus held that the methods discussed in this paper have potential application values in the estimation of the crop Leaf Area Index.

Keywords Mountain areas of Beijing      Vegetation coverage      Remote sensing mapping      FCD mapping model      Landscape pattern analysis     

TP 79: S 127

Issue Date: 20 September 2010
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GAO Shuai, NIU Zheng, LIU Xiang, WU Chao-Yang. The Estimation of Crop Leaf Area Index in Consideration of Texture Characteristics of SAR[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(3): 36-40.
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