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Multisensor experiments over vineyard: new challenges for the GNSS-R technique

机译:葡萄园的多传感器实验:GNss-R技术的新挑战

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摘要

An airborne campaign was performed during August, 2014 in an agricultural area in the Duero basin (Spain) in order to appraise the synergy between very different sources of Earth Observation imagery, and very different instruments for soil moisture retrieval. During the flight, an intensive field campaign comprising soil, plant and spectral measurements was carried out. An innovative sensor based on the Global Navigation Satellite Systems Reflectometry (GNSS-R) was on board the manned vehicle, the Light Airborne Reflectometer for GNSS-R Observations (LARGO) engineered by the Universitat Politècnica de Catalunya. While the synergy between thermal, optical and passive microwave spectra observations is well known for vegetation parameters and soil moisture retrievals, the experiment aimed to evaluate the synergy of GNSS-R reflectivity with a time-collocated Landsat 8 imagery for soil moisture retrieval under semiarid climatic conditions. LARGO estimates, field measurements, and optical, NIR, SWIR and thermal bands from Landsat 8 were compared. Results showed that the joint use of GNSS-R reflectivity with vegetation and water indices together with thermal maps from Landsat 8 thoroughly improved the soil moisture estimation.
机译:2014年8月,在杜罗盆地(西班牙)的一个农业地区进行了一次空降战役,目的是评估非常不同的地球观测图像源与非常不同的土壤水分获取仪器之间的协同作用。在飞行过程中,进行了包括土壤,植物和光谱测量在内的密集野战。加泰罗尼亚理工大学设计的载人车辆上搭载了一种基于全球导航卫星系统反射法(GNSS-R)的创新传感器,该传感器是用于GNSS-R观测的轻型机载反射仪(LARGO)。尽管众所周知,热,光和被动微波光谱观测之间的协同作用对于植被参数和土壤水分的反演,该实验旨在评估GNSS-R反射率与时间并置的Landsat 8影像在半干旱气候条件下进行土壤水分反演的协同作用。条件。比较了Landsat 8的LARGO估算值,现场测量值以及光学,NIR,SWIR和热带。结果表明,结合使用GNSS-R反射率与植被和水分指数以及Landsat 8的热图,可以彻底改善土壤湿度估算。

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