雷达后向散射理论与半经验模型的联合应用估算植被冠层特征

L. Prévot, T. Schmugge
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引用次数: 3

摘要

由于微波遥感技术在自然介质、大气和植被中具有较大的穿透深度,可以克服光域的限制。由于几个成像雷达已经或将在未来十年内发射,因此最重要的是开发反演算法,允许使用雷达数据来估计冠层特征,如生物量和叶面积指数,以及根据植被的影响对地表土壤湿度的估计进行校正。
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Combined Use of Theoretical and Semi-Empirical Models of Radar Backscattering to Estimate Characteristics of Vegetated Canopies
Because of their greater penetration depth in natural media, atmosphere and vegetation, microwave remote sensing techniques can overcome the limitations of the optical domain. As several imaging radars are already or to be launched during the coming decade, it is the most important to develop inversion algorithms allowing the use of radar data for estimating canopy characteristics such as biomass and leaf area index, as well as to correct estimations of surface soil moisture for the effect of vegetation.
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