以陕西省关中地区为研究区域，基于2009年春季三期Terro-MODIS1B数据，获取昼夜地表温差和反照率参数；结合同期气象站点实测的土壤墒情数据，采用热惯量法建立热惯量-土壤含水量（ATI-SWC）经验模型。模拟结果表明：3月8日模型模拟精度最高，4月28日模型模拟精度最低。进一步分析发现，植被指数对模型的影响较大，因此热惯量法对裸地土壤含水量监测精度较高。最后，结合研究区DEM数据，综合分析了地质地貌、地下水和植被指数等对关中地区土壤含水量的影响。研究结果对关中地区的旱情监测具有一定的参考价值。

Using thermal inertia method, ATI-SWC experience model of Guanzhong area was established, combined the same time soil moisture data measured at weather station and temperature difference of day and night and reflectivity obtained based on three phrase Terro-MODIS1B data in spring of 2009. The results showed that the model of March 3 had high precision and the model of April 28 has lowest precision. NDVIs of the three time were analyzed and NDVI affected model precision greatly, so thermal inertia method had higher precision on monitoring soil moisture of bare land. Finally, together with DEM，influences from geology, geomorphology and NDVI to soil moisture in Guanzhong were comprehensive analyzed. Results had some reference value on drought monitoring of Guanzhong.

西安科技大学培育基金（2009014）