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在原有的云参数法干旱遥感监测模型的基础上,对云参数进行时间空间修正,得到了具有时间空间普适性的新型云参数法干旱遥感监测模型。首先分析了云参数随时空变化的规律即云参数影响函数,并分析确定修正函数的函数形式,然后联合遥感数据和同步地面实测20 cm深度土壤湿度数据确定修正函数,最后通过定权方式确定改进型干旱遥感监测模型。利用FY-2C数据进行了全国范围干旱遥感监测实验,同时与传统方法的监测结果进行对比分析,认为新型模型对空间时间大尺度条件下的干旱监测结果更准确可信。
Based on the original cloud parameter method drought remote sensing monitoring model, the cloud parameters are modified in time and space, and a new cloud parameter method drought remote sensing monitoring model with time and space universality is obtained. Firstly, the law of the cloud parameters changing with the time and space is analyzed, and the function of the cloud parameters is analyzed. The function form of the correction function is analyzed and determined. Then the correction function is determined by combining the remote sensing data with the soil moisture data of 20 cm depth measured by simultaneous ground measurement. Drought Remote Sensing Monitoring Model. A nationwide arid remote sensing monitoring experiment was carried out by using FY-2C data. Meanwhile, the results of the traditional method were compared and analyzed. The result shows that the new model is more accurate and reliable for drought monitoring under large-scale spatial time.