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传统的表观热惯量法没有考虑土壤质地的影响。由于不同土壤的热性质不同，即使土壤水分相同，其地表温度日较差也不同，因而用表观热惯量法进行监测时存在较大误差。本文在 Ｇ Ｉ Ｓ支持下，分土壤质地建立了土壤水分遥感监测模型，从而提高了监测精度。
The traditional apparent thermal inertia method does not consider the influence of soil texture. Due to the different thermal properties of different soils, even if the soil moisture is the same, the surface temperature has a different diurnal variation, so there is a big error when using the apparent thermal inertia method. In this paper, with the support of GIAS, a soil moisture remote sensing monitoring model is set up for soil quality, which improves the monitoring accuracy.