首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium;IGARSS 2013;International Geoscience and Remote Sensing Symposium >GRASS: AN EXPERIMENT ON THE CAPABILITY OF AIRBORNE GNSS-R SENSORS IN SENSING SOIL MOISTURE AND VEGETATION BIOMASS
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GRASS: AN EXPERIMENT ON THE CAPABILITY OF AIRBORNE GNSS-R SENSORS IN SENSING SOIL MOISTURE AND VEGETATION BIOMASS

机译:草:对传感土壤水分和植被生物质的空气摇滚动态传感器能力的实验

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In this paper an experiment concerning the capabilities of GNSS-R sensors for land applications was described. An airborne campaign was performed in summer and fall 2011 over two areas close to Florence (Italy): an agricultural zone and a forest plot of poplars. A detailed comparison of the GNSS-R signals with ground truth data was performed. Both LR and RR reflection coefficients have been found to be sensitive to changes in the surface soil moisture, with a total variation of about 6 dB between dry and wet conditions. Regarding the sensitivity to vegetation, it was observed that the measured LR coefficients have a moderate power variation due to the presence of woody vegetation. It was observed that the LR coefficient experienced a monotonic decrease with increasing biomass, up to an estimated forest dry biomass of more than 150 t/ha.
机译:本文描述了一个关于土地应用的GNSS-R传感器的能力的实验。 在夏季和2011年秋季进行的空中竞选活动是在佛罗伦萨(意大利)附近的两个地区进行的:农业区和杨树的森林情节。 执行GNSS-R信号与地面真理数据的详细比较。 已发现LR和RR反射系数均对表面土壤水分的变化敏感,在干燥和湿润条件下的总变化约为6 dB。 关于对植物的敏感性,观察到测量的LR系数由于木质植被存在而具有中等的功率变化。 观察到LR系数随着生物质的增加而经历单调减少,达到超过150t / ha的估计森林干生物量。

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