基于遥感的全球表层土壤水旬度数据集（RSSSM，2003~2020）
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基于遥感的全球表层土壤水旬度数据集（RSSSM，2003~2020）是在世界11种常用的全球微波遥感土壤水数据产品基础上，采用神经网络方法，融入了9个微波遥感反演土壤水分的质量影响因子完成。数据空间分辨率是0.1度，时间分辨率为旬。原数据覆盖2003~2018年，现更新至2020年。RSSSM数据集的时间连续性突出，除冰雪和水体外实现空间全覆盖。通过全球实测数据进行检验，可证明RSSSM数据集较已有的常用全球或区域长时间序列表层土壤水产品具有更高的时空格局精度。此外，虽然RSSSM数据是基于遥感的，未融合任何降水资料，但其年际变异与降水量（如GPM IMERG降水数据）和标准化降水蒸散发指数（SPEI）的时间变异均可较好地吻合。RSSSM数据还可一定程度反映城市化、农田灌溉、植被恢复等人类活动对土壤水分的影响。数据为tiff格式，压缩后的数据量为2.48 GB。 数据论文于2021年发表在Earth System Science Data。
Remote sensing-based global dekadal surface soil moisture dataset (RSSSM, 2003–2020) was developed based on 11 commonly used global microwave remote sensing soil moisture products, using neural network methods and incorporating 9 quality impact factors for microwave remote sensing retrieval of soil moisture. The dataset has a spatial resolution of 0.1° and a temporal resolution of dekad. The original dataset covered the period 2003–2018, and has now been updated to 2020. The RSSSM dataset exhibits strong temporal continuity and achieves full spatial coverage except over ice, snow and water bodies. Validated using global in-situ measurement data, the RSSSM dataset has been proven to achieve higher spatial-temporal pattern accuracy than existing commonly used global or regional long-time series surface soil moisture products. Furthermore, although the RSSSM dataset is remote sensing-based and does not incorporate any precipitation data, its interannual variability aligns well with the temporal variations of precipitation (e.g., GPM IMERG precipitation data) and the Standardized Precipitation Evapotranspiration Index (SPEI). The RSSSM dataset can also reflect, to a certain extent, the impacts of human activities such as urbanization, farmland irrigation and vegetation restoration on soil moisture. The data is stored in TIFF format, with a compressed size of 2.48 GB. The corresponding data paper was published in Earth System Science Data in 2021.
