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首页> 外文期刊>Remote Sensing >Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China
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Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China

机译：SMAP衍生的土壤水分亏缺指数（SWDI-SMAP）作为中国农业干旱指数的评估

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China is frequently subjected to local and regional drought disasters, and thus, drought monitoring is vital. Drought assessments based on available surface soil moisture (SM) can account for soil water deficit directly. Microwave remote sensing techniques enable the estimation of global SM with a high temporal resolution. At present, the evaluation of Soil Moisture Active Passive (SMAP) SM products is inadequate, and L-band microwave data have not been applied to agricultural drought monitoring throughout China. In this study, first, we provide a pivotal evaluation of the SMAP L3 radiometer-derived SM product using in situ observation data throughout China, to assist in subsequent drought assessment, and then the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) is compared with the atmospheric water deficit (AWD) and vegetation health index (VHI). It is found that the SMAP can obtain SM with relatively high accuracy and the SWDI-SMAP has a good overall performance on drought monitoring. Relatively good performance of SWDI-SMAP is shown, except in some mountain regions; the SWDI-SMAP generally performs better in the north than in the south for less dry bias, although better performance of SMAP SM based on the R is shown in the south than in the north; differences between the SWDI-SMAP and VHI are mainly shown in areas without vegetation or those containing drought-resistant plants. In summary, the SWDI-SMAP shows great application potential in drought monitoring.
机译：中国经常遭受地方和区域的干旱灾害，因此干旱监测至关重要。基于可用地表土壤水分（SM）进行的干旱评估可以直接解决土壤缺水问题。微波遥感技术能够以较高的时间分辨率估算整体SM。目前，对土壤水分主动无源（SMAP）SM产品的评估还不够，并且L波段微波数据还没有应用于全国农业干旱监测。在这项研究中，我们首先使用全国各地的原位观测数据对SMAP L3辐射计衍生的SM产品进行关键评估，以帮助随后的干旱评估，然后再进行SMAP衍生的土壤水分亏缺指数（SWDI-SMAP）将其与大气缺水量（AWD）和植被健康指数（VHI）进行比较。结果表明，SMAP能够获得相对较高的精度，而SWDI-SMAP在干旱监测方面具有良好的综合性能。除部分山区外，SWDI-SMAP的性能相对较好。 SWDI-SMAP通常在北部比南部在干燥偏倚方面要好，尽管基于R的SMAP SM的性能在南部比北部要好。 SWDI-SMAP和VHI之间的差异主要表现在没有植被或含有抗旱植物的地区。总之，SWDI-SMAP在干旱监测中显示出巨大的应用潜力。

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