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首页> 外文会议>Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International >SIR-C polarimetric backscatter features of agricultural land cover types early during the growing season
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SIR-C polarimetric backscatter features of agricultural land cover types early during the growing season

机译：生长季节初期农业用地覆盖类型的SIR-C偏振反向散射特征

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摘要

This study focuses on the polarimetric radar backscatter responses observed for different agricultural land cover types early during the growing season, in two well-separated test sites. These were Oltrepo Pavese in northern Italy and Oberpfaffenhofen in southern Germany. Results show that L-band was better at discriminating between agricultural land cover types than C-band. However effects due to soil roughness and those due to vegetation in the fields were difficult to separate using only backscatter amplitude information. Polarimetric information expressed through the HH-VV correlation coefficients and as polarimetric signatures however, provided additional information on the backscatter mechanisms for various land cover types and allowed for the separation of vegetation and soil effects.
机译：这项研究的重点是在生长季节初期，在两个分隔良好的测试地点，针对不同农业土地覆盖类型观察到的偏振雷达反向散射响应。这些是意大利北部的Oltrepo Pavese和德国南部的Oberpfaffenhofen。结果表明，L波段比C波段更能区分农业土地覆盖类型。但是，仅使用反向散射振幅信息很难区分由于土壤粗糙度和田间植被造成的影响。通过HH-VV相关系数表示的极化信息以及作为极化特征的信息提供了有关各种土地覆盖类型的反向散射机制的附加信息，并允许分离植被和土壤效应。

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