A synergyc view of L-band active and passive remote sensing of vegetated soil

L. Guerriero, P. Ferrazzoli, R. Rahmoune
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引用次数: 9

Abstract

This paper investigates the effects produced by variations of soil moisture and vegetation biomass on the emissivity e and the backscattering coefficient σ° of land surfaces. Several previous works demonstrated that an increase of soil moisture is associated to a decrease of e and a corresponding increase of σ°. Other surface variables, such as soil roughness and vegetation biomass also influence both e and σ°, but in a different way with respect to soil moisture. In a previous paper, it was assumed that an ideal triangle can be traced on the e-σ° plane, with vertexes corresponding to dry soil, wet soil and dense vegetation conditions, respectively. In this paper, this assumption is tested using passive and active signatures collected by SMOS and ALOS-PALSAR instruments, respectively, over various kinds of surfaces.
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植被土壤l波段主动与被动遥感协同研究
本文研究了土壤湿度和植被生物量变化对地表发射率e和后向散射系数σ°的影响。前人的研究表明,土壤湿度的增加与e的减小和σ°的增大有关。其他表面变量,如土壤粗糙度和植被生物量也会影响e和σ°,但对土壤湿度的影响方式不同。在之前的文章中,假设在e-σ°平面上可以画出一个理想三角形,其顶点分别对应于干燥土壤、潮湿土壤和茂密植被的条件。本文分别利用SMOS和ALOS-PALSAR仪器在不同表面上采集的被动和主动信号对这一假设进行了验证。
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