云参数法干旱遥感监测模型的完善

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。

Improvement of Cloud Parameters Based Drought Monitoring Model Using Remote Sensing Data

We mainly presented the modification of the cloud parameters in both temporal and spatial dimensions.The modification leads to a new drought monitoring model with a stable performance to variation of time and space of remote sensing data.This modification function was applied to regulate the 3 cloud impaction functions.Finally,we modified the new drought inspection model by evaluating different weights to the 3 cloud impaction functions.Meanwhile,we applied this new model to the FY-2C data covering the whole China.Compared with the traditional monitoring algorithms,the new model is proved to be capable of providing a more accurate and reliable result in large scale of time and space.