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SOIL MOISTURE ESTIMATION USING ASAR DATA

机译:利用ASAR数据估算土壤水分

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摘要

The potential of Advanced Synthetic Aperture Radar (ASAR) for the retrieval of surface soil moisture over bare soils was evaluated for several ASAR acquisition configurations: (1) one incidence and one polarization, (2) one incidence and two polarizations (one date), (3) two incidences and one polarization (two dates) and (4) two incidences and two polarizations (two dates). The retrieval of soil moisture from backscattering measurements is discussed using empirical inversion approaches. When compared with the results obtained with a single polarization, the use of two polarizations does not provide a significant improvement in estimating soil moisture (improvement < 1%). For the best estimates of soil moisture, ASAR data should be acquired at both low and high incidence angles (RMSE=3.5%). Next, the soil moisture mapping was carried out for ASAR images acquired in 2005 over the Touch basin using empirical relationship between radar signal and soil moisture obtained from data collected between 1998 and 2004 on several study sites and in using ERS and ASAR sensors. The use of mono-date ASAR images with one incidence and one polarization enables a soil moisture mapping with accuracy better than 6%.
机译:针对以下几种ASAR采集配置,评估了先进合成孔径雷达(ASAR)在裸土上获取表层土壤水分的潜力:(1)一种入射和一种极化,(2)一种入射和两种极化(一个日期), (3)两次入射和一个极化(两个日期)和(4)两次入射和两个极化(两个日期)。使用经验反演方法讨论了从反向散射测量中获取土壤水分的问题。与单极化的结果相比,两种极化的使用在估算土壤湿度方面没有显着改善(改善<1%)。为了最好地估算土壤湿度,应在低入射角和高入射角(RMSE = 3.5%)下获取ASAR数据。接下来,利用雷达信号与土壤湿度的经验关系,对2005年在Touch盆地采集的ASAR图像进行了土壤湿度测绘,该关系是根据1998年至2004年在几个研究地点收集的数据获得的,并使用ERS和ASAR传感器。使用具有一次入射和一次极化的单日ASAR图像,可以进行土壤湿度测绘,其精度优于6%。

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