Research On Processing Method And Visualization Platform For The Heterogeneous Monitoring Data Of Multi-regional Lidar

Nowadays,climate change is more and more serious,and the climate issue has become the focus of global concern.The effective monitoring of atmosphere is helpful for us to seek the regular pattern of the climate change quickly and accurately,thus forecasting precisely and taking effective measures to resist the emergency climate disaster.As an active remote sensing detection technology,the lidar has become an important mean and tool for atmospheric environment observation.At present,most of the atmospheric lidar detection sites are single region detection,resulting in discrepancies on data type,data format,data accuracy and data dimension,which cannot meet the needs of data sharing and analyzing at the same scale.This situation greatly hampered the In-depth analysis work of spatial distribution and change rules of large scale regional atmospheric environmental parameters.Therefore,it is necessary to research processing method and establish visualization platform for heterogeneous lidar monitoring data.Based on the analysis of lidar monitoring data processing status in domestic and overseas,this thesis puts forward and studied multi-regional heterogeneous lidar monitoring data processing method and visualization platform.There are several key problems remaining to be solved in the process of establish visualization platform.Firstly,the monitoring data between different sites is heterogeneous,which cannot be used directly by each other.Secondly,lidar monitoring data is strong discreteness,wide range and lack of continuity.Thirdly,the lidar monitoring data is big in quantity,need mining the characteristics of atmospheric parameters from whole data,and cannot be analyzed directly from data surface.To solve the above problem,the main works of this thesis are as follows: due to the monitoring data has not formed a unified data analysis using standard,this dissertation proposed one unified definition of atmospheric lidar monitoring data;one multi-regional heterogeneous lidar monitoring data uniform conversion method is proposed,the heterogeneous lidar monitoring data can transform into one kind of data with the same structure;one lidar data interpolation based on grey prediction theory is designed to make data continuous;design and implement multi-regional heterogeneous lidar monitoring data visualization platform,with the help of visual measure to analysis atmospheric parameter data.The experimental results show the effectiveness of multi-regional heterogeneous lidar monitoring data processing method,and the rationality and accuracy of visualization platform.