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Estimating Soil Moisture Distributions across Small Farm Fields with ALOS/PALSAR

机译:利用ALOS / PALSAR估算小农田的土壤水分分布

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The ALOS (advanced land observing satellite) has an active microwave sensor, PALSAR (phased array L-band synthetic aperture radar), which has a fine resolution of 6.5?m. Because of the fine resolution, PALSAR provides the possibility of estimating soil moisture distributions in small farmlands. Making such small-scale estimates has not been available with traditional satellite remote sensing techniques. In this study, the relationship between microwave backscattering coefficient () measured with PALSAR and ground-based soil moisture was determined to investigate the performance of PALSAR for estimating soil moisture distribution in a small-scale farmland. On the ground at a cabbage field in Japan in 2008, the soil moisture distribution of multiple soil layers was measured using time domain reflectometry when the ALOS flew over the field. Soil moisture in the 0–20?cm soil layer showed the largest correlation coefficient with (). The values also showed a strong correlation with the ground surface coverage ratio by cabbage plants. Our results suggested that PALSAR could estimate soil moisture distribution of the 0–20?cm soil layer across a bare field and a crop coverage ratio when crops were planted.
机译:ALOS(先进的陆地观测卫星)具有有源微波传感器PALSAR(相控阵L波段合成孔径雷达),其高分辨率为6.5?m。由于分辨率高,PALSAR提供了估算小农田土壤水分分布的可能性。传统的卫星遥感技术尚无法进行如此小规模的估算。在这项研究中,确定了PALSAR测得的微波反向散射系数()与地面土壤水分之间的关​​系,以研究PALSAR在估算小规模农田中土壤水分分布方面的性能。在2008年日本卷心菜田的地面上,当ALOS飞过田间时,使用时域反射仪测量了多个土壤层的土壤水分分布。 0-20 cm土层的土壤水分与()的相关系数最大。这些值还显示出与甘蓝植物的地面覆盖率有很强的相关性。我们的结果表明,PALSAR可以估算出种植作物时裸露田地0–20?cm土壤层的土壤水分分布和作物覆盖率。

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