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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >A Comparison of ASCAT Soil Moisture Data With In Situ Observations Over the Indian Region: A Multiscale Analysis
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A Comparison of ASCAT Soil Moisture Data With In Situ Observations Over the Indian Region: A Multiscale Analysis

机译：印度地区ASCAT土壤水分数据与就地观测值的比较：多尺度分析

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摘要

Accurate soil moisture data, critical for many applications such as agriculture and estimation of ground water, is limited worldwide, and particularly over India, by the absence of sustained multisite observations. A long-term sustained soil moisture observation at four vertical levels (5, 15, 50, and 100 cm) is now available at several locations over India under a multi-institutional program Climate Observations and Modeling Network (COMoN) led by CSIR, India. At the same time, a high resolution daily (moving 5-day mean) surface relative soil moisture data set has now become available from the Advanced Scatterometer (ASCAT) . However, there is a need to compare remotely sensed data and observations to ensure consistency and quantify uncertainties. This is particularly true for India characterized by diverse climatic zones. We present a comparative analysis of gridded ASCAT soil moisture data and COMoN station data over six locations in India during the period 2010–2013. A multiscale analysis is carried out involving daily, weekly, monthly, and seasonal timescales at different geographical locations. Analyses show that the two data sets are generally consistent, although there are seasonalities in the agreement; the correlation coefficient is higher for the wet season (summer, autumn), and moderate for dry season (winter, spring) . The correlation coefficients are ranged from 0.73 to 0.91 and above 99% significance level. The results quantify the reliability and robustness of ASCAT soil moisture over different climatic regions in India; the results also identify certain differences between the two data sets.
机译：精确的土壤水分数据对许多应用（例如农业和地下水估算）至关重要，但由于缺乏持续的多站点观测，因此在世界范围内，尤其是在印度，其数据有限。在印度CSIR牵头的多机构计划气候观测和建模网络（COMoN）的支持下，印度各地有多个地方可以在四个垂直高度（5、15、50和100厘米）进行长期持续的土壤湿度观测。 。同时，现在可以从高级散射仪（ASCAT）获得高分辨率的每日（平均5天移动）地表相对土壤湿度数据集。但是，需要比较遥感数据和观测值以确保一致性和量化不确定性。对于气候特征多样的印度来说尤其如此。我们对2010-2013年期间印度六个地点的网格化ASCAT土壤湿度数据和COMoN站数据进行了比较分析。进行了多尺度分析，涉及不同地理位置的每日，每周，每月和季节性时标。分析表明，尽管协议中存在季节性因素，但两个数据集总体上是一致的。雨季（夏季，秋季）的相关系数较高，而旱季（冬季，春季）的相关系数较高。相关系数的范围为0.73至0.91，且显着性水平高于99％。结果量化了印度不同气候区域的ASCAT土壤水分的可靠性和坚固性；结果还确定了两个数据集之间的某些差异。

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