Development of radar remote sensing techniques for monitoring arid and permafrost environments

在这项研究中，开发了应用微波遥感数据监测永久冻土生态系统和绘制积雪覆盖区域的新技术。以往对多年冻土环境解冻和复冻状态监测的研究空间尺度仅限于25-50km。本研究首次开发了一种在1公里空间分辨率下检测西伯利亚生态系统冻融状态的新技术。此外，基于极化参数的季节性变化特征和新的数据融合方法，开发了一种雷达遥感图像季节性积雪绘制的新方法。应用到新泻县的实验结果表明，全偏振 L 波段数据可以成为绘制季节性积雪面积的有用工具。

In this study, novel techniques on application of microwave remote sensing data for monitoring permafrost ecosystem and for mapping snow-covered area have been developed. Previous studies on monitoring thaw and refreeze states of permafrost environment have a limited spatial scale of 25-50km. In this study, a new technique to detect freeze/thaw states of the Siberian ecosystem in the spatial resolution of 1km was originally developed. In addition, a new method to map seasonal snow-covered area from radar remote sensing image was developed based on the characteristic seasonal changes of polarimetric parameters and a new data fusion method. Experimental results applied to Niigata Prefecture, indicate that the fully polarimetric L-band data can be a useful tool for mapping seasonal snow-covered area.