基于星载激光雷达遥感提取大区域边界层高度，是解决地面监测站点稀疏和以“点”代“面”问题的重要手段。然而，传统星载激光雷达边界层高度提取算法容易受到非目标层（光学厚层和异常噪声层）局部波动的干扰，导致区域边界层高度难以有效提取。由于温湿度廓线受非目标层的干扰较少，可为星载激光雷达精细化边界层高度定位提供约束条件。因此，本项目拟协同低分辨率MODIS温湿度廓线和高分辨率星载激光雷达气溶胶廓线来提取边界层高度。包括：1）建立不同大气条件下边界层高度范围预估算法的选择理论、剔除远场非目标层突变干扰；2）探索色比-极化比与边界层高度规律关系、削弱边界层顶附近光学厚层的影响；3）发展信号趋势重构的抗噪算法、克服传统算法对局部噪声波动敏感的问题。由此，为中国区域边界层高度精细化监测提供新思路，为推动星载激光雷达在大区域边界层高度遥感提取应用提供新算法。

It is an important remote sensing way to retrieve boundary layer height (BLH) over a large-scale region from satellite-borne lidar due to ground monitoring stations are sparse. However, the local mutation of the spaceborne lidar signal in the non-target layer (optical thick layer and abnormal noise layer) may be much larger than that in the boundary layer, which will result in serious error in locating boundary layer height for traditional algorithm. Since temperature and humidity profiles are less disturbed by these non-target layers, these profiles can provide constraint conditions to refine boundary layer height from space-borne lidar. Based on this consideration, this project will conduct research on the synergy of MODIS atmospheric profiles and aerosol profiles from space-borne lidar with applications in regional boundary layer height retrieval. The project consists of three main parts:.1) This project will establish a method selection theory to estimate the range of boundary layer height. Then, the range can remove the influence of a non-target layer at a far distance..2) This project will explore a relationship between color/polarization ratio and boundary layer height. Then, the relationship can weaken the influence of the optical thick layer near a boundary layer top on locating boundary layer height..3) This project will develop an anti-noise method by reconstructing the signal tendency. This method can overcome the problem that the traditional method is sensitive to the local noise fluctuation..This project will provide a new idea for monitoring of regional boundary layer height and propose a new method to promote the application of spaceborne lidar in retrieving boundary layer height.