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首页> 外文期刊>International journal of remote sensing >Multi-polarization Envisat-ASAR images as a function of leaf area index (LAI) of White Poplar and Desert Date plantations
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Multi-polarization Envisat-ASAR images as a function of leaf area index (LAI) of White Poplar and Desert Date plantations

机译:白杨和荒漠日期人工林多极化Envisat-ASAR图像随叶面积指数(LAI)的变化

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摘要

The relationship between leaf area index (LAI) of plantations and multi-polarization Synthetic Aperture Radar (SAR) data (Envisat-ASAR) was investigated for White Poplar (Populus tomentosa Carr) and Desert Date (Elaeagnus angustifolius) in Heihe district, northwest china. The study showed that, for homogeneous White Poplar plantations, HH and HV polarization data (where H and V represent horizontal and vertical polarizations, respectively, and the first of the two letters refers to the transmission polarization and the second to the received polarization) were sensitive to LAI and the r~2 (logistic relationship fits) values between HH polarization and LAI, 0.56 and 0.58 on 25 and 28 June images respectively, was much higher than that for the other polarizations of VV, VH and HV. For Desert Date plantations, the heterogeneity of the forests results in a more complex back-scattering than that for White Poplar. Incidence angle also plays an important role in SAR backscattering, so a suitable SAR mode should be chosen to avoid scattering saturation when the LAI and incidence angle exceed certain values. The logistic polarization ratios of HH/HV and VV/VH showed varying correlation with LAI over White Poplar plantations, probably due to incidence angle.
机译:研究了黑河地区白杨(Populus tomentosa Carr)和荒漠日期(Elaeagnus angustifolius)的人工林叶面积指数(LAI)与多极化合成孔径雷达(SAR)数据(Envisat-ASAR)之间的关系。 。研究表明,对于均匀的白杨人工林,HH和HV极化数据(其中H和V分别表示水平极化和垂直极化,两个字母中的第一个表示透射极化,第二个表示接收极化)。对LAI敏感,并且6月25日和28日的HH极化和LAI之间的r〜2值分别为0.56和0.58,远高于VV,VH和HV的其他极化。对于沙漠枣人工林,森林的异质性导致的反向散射比白杨更为复杂。入射角在SAR反向散射中也起着重要作用,因此当LAI和入射角超过一定值时,应选择合适的SAR模式以避免散射饱和。在白杨人工林上,HH / HV和VV / VH的对数极化比与LAI呈不同的相关性,这可能是由于入射角所致。

著录项

  • 来源
    《International journal of remote sensing 》 |2010年第4期| 1095-1102| 共8页
  • 作者单位

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of Chinese Academy of Science, Beijing 100039, China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of Chinese Academy of Science, Beijing 100039, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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