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在利用气象卫星监测土壤墒情已有研究成果的基础上，进一步分析和探讨原有墒情监测指数存在的问题和主要干扰因子，并找到了各主要干扰因子的量化表达式（或代表量）。然后分别用太阳辐射总量，地面吸热能力和大气状况因子的表达式，对干旱指数及表观热惯量进行了订正处理，形成了考虑多因子的土壤墒情监测指数，增加了遥感监测结果的时空可比性，改进了土壤墒情的监测效果。
Based on the existing research results of monitoring soil moisture using meteorological satellites, the existing problems and main interference factors of the original soil moisture monitoring index are further analyzed and discussed, and the quantitative expressions (or the representative quantities) of the major interference factors are found. Then, the drought index and apparent thermal inertia were corrected by the expressions of total solar radiation, surface heat absorption capacity and atmospheric condition factor, respectively, which formed a multi-factor soil moisture monitoring index and increased the results of remote sensing monitoring Spatiotemporal comparability improves soil moisture monitoring.