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
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.
国家重点基础研究发展计划项目（编号： 2007CB714406）； 国家科技支撑计划项目(编号： 2008BAC34B03)； 中国科学院知识创新工程青年人才领域前沿项目； 中国科学院遥感应用研究所遥感科学国家重点实验室资助项目； 欧盟项目CEOP-AEGIS（FP7-ENV-2007-1 Grant nr. 212921）； 测绘遥感信息工程国家重点实验室资助项目（编号： 09R04）。
通讯作者:
高帅（1983-），男，博士研究生，研究方向为全球变化遥感。
引用本文:
高帅, 牛铮, 刘翔, 吴朝阳.
结合雷达影像纹理特征的作物叶面积指数估测[J]. 国土资源遥感, 2010, 22(3): 36-40.
GAO Shuai, NIU Zheng, LIU Xiang, WU Chao-Yang. The Estimation of Crop Leaf Area Index in Consideration of Texture Characteristics of SAR. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(3): 36-40.
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2010, Vol. 22 
