利用ALOS/PALSAR估算小农田土壤水分分布。

International Scholarly Research Notices Pub Date : 2016-07-26 eCollection Date: 2016-01-01 DOI:10.1155/2016/4203783
Yuki Kojima, Kazuo Oki, Kosuke Noborio, Masaru Mizoguchi
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引用次数: 4

摘要

ALOS(先进陆地观测卫星)有一个有源微波传感器PALSAR(相控阵l波段合成孔径雷达),具有6.5米的精细分辨率。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无法进行这种小规模的估计。研究了PALSAR测量的微波后向散射系数(σ)与地面土壤水分的关系,探讨了PALSAR在估算小尺度农田土壤水分分布中的应用效果。2008年,在日本某白菜田的地面上,利用时域反射法测量了ALOS在大田上空飞行时多个土层的土壤水分分布。0 ~ 20 cm土层土壤水分与σ的相关系数最大(r = 0.403)。σ值也与白菜的地表覆盖度有较强的相关性。结果表明,PALSAR可以估算出裸地0 ~ 20 cm土层的土壤水分分布和作物种植时的作物盖度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Soil Moisture Distributions across Small Farm Fields with ALOS/PALSAR.

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 (σ) 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 σ (r = 0.403). The σ 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.

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