摘要
目前常规环境监测所采用的地面布点采样分析,具有耗时费力且缺乏空间连续性等缺点,针对于此,研究了基于WSN和RS的四维环境数据同化技术,采用空间插值法,对某时刻与WSN节点对应的遥感环境参数进行空间插值,获取环境参数的空间分布规律;将WSN与RS环境参数采用最优插值法进行数据同化,获得遥感环境参数与WSN实测数据的关系函数;在时间连续的某时刻,利用WSN实测数据和同化关系函数获得对应观测点的遥感环境参数,并利用空间插值方程,获得空间连续的遥感环境参数,解决了环境监测中时空不连续的难题,填补了国内环境监测领域的空白。
The ordinary environmental monitoring uses ground sampling analysis,which consumes time and is lack of spacing continuity.The paper studies on technology of the four dimension data assimilation,which is combined with the technology of spatial interpolation and optimal interpolation.Spatial interpolation is used to interpolate remote sensing environmental parameters corresponding to WSN nodes at certain time and get spatial distribution of environmental parameters.Optimal interpolation is used to study data assimilation of WSN and RS environmental parameters and get the relationship function between remote sensing environmental parameters and WSN data.At a certain time,the remote sensing environmental parameters corresponding to WSN nodes can be obtained by WSN data and assimilation relation function.At last,spatial continuous remote sensing environmental parameters can be obtained by the above remote sensing environmental parameters and spatial interpolation function,which solves the problem of Space-time discontinuity in environmental monitoring.
作者
胡敬文
陈红
HU Jing-wen;CHEN Hong(Education Division, Foshan Radio & TV University, Foshan 528000, China;Beijing Hong Yuan Yue Tai Technology Co. Ltd, Beijing 102206, China)
出处
《佛山科学技术学院学报（自然科学版）》
CAS
2017年第4期54-58,共5页
Journal of Foshan University(Natural Science Edition)
基金
佛山市科技创新项目(00208231200122049)
关键词
数据同化
空间插值
最优插值
环境参数
data assimilation
spatial interpolation
optimal interpolation
environmental parameters
