土壤水分是反映地表土壤特性的重要表征参量,也是遥感反演领域的一个热点问题。利用MODIS卫星数据第7波段对水分变化较敏感的特点,构建了一种简单实用的土壤水分反演回归模型。结果表明,利用该模型计算的预测值与实地观测值间的相关性比较好,达到了显著水平(P〈O.001),可以作为研究区土壤含水量遥感反演回归模型。由于该方法具有简单实用的特点,为高原土壤水分遥感监测提供了可行的方法。
Soil moisture is an important parameter to reflect surface soil properties and also is a hot topic in remote sensing inversion field. A simple and practical soil moisture retrieval regression model was established based on the sensitivity of MODIS band 7 data to moisture changes. The results showed that the new model worked well in soil moisture inversion in the study area, and significant correlation was found between the field observed data and inversed data of soil moisture (P〈0.001). The new model is simple, practical and feasible, and can be used to monitor soil moisture in northern Tibet and other plateau regions.