基于多源卫星遥感的灾害性气象观测数据监测系统设计

灾害性气象的频发不仅给人们的生活带来了极大的影响，而且还危及生态环境的稳定。为减小实测气象数据与真实数据样本之间误差，实现对灾害性气象观测数据的准确监测，设计基于多源卫星遥感的灾害性气象观测数据监测系统。设置温湿度传感器及防辐射罩，按照数据信息传输网络布局形式，将风速风向传感器、雨量传感器、太阳能控制器接入既定模块单元之中，完成监测系统的硬件设计。利用多源卫星遥感技术，定义多源影像空间，通过分解数字卫星图像的方式，确定监测极值点所处位置，并计算相似性度量指标的具体数值，完成基于多源卫星遥感的灾害性气象图像配准处理。根据上位机组网模型，完善WINSOCK控件的连接形式，实现监测系统的执行程序编制，联合相关传感器元件，完成基于多源卫星遥感的灾害性气象观测数据监测系统设计。实验结果表明，多源卫星遥感技术设计系统的湿度测量曲线、气压测量曲线、风速测量曲线与真实气象数据样本之间的误差值均未超过2%，能够准确监测灾害性气象观测数据。

Design of disastrous meteorological observation data monitoring system based on multi-source satellite remote sensing

The frequent occurrence of disastrous weather not only has a great impact on people''s lives, but also endangers the stability of the ecological environment. In order to reduce the error between the measured meteorological data and the real data samples and realize the accurate monitoring of the disaster meteorological observation data, a disaster meteorological observation data monitoring system based on Multi-source Satellite remote sensing is designed. The temperature and humidity sensor and radiation protection cover are set. According to the layout of data information transmission network, the wind speed and direction sensor, rain sensor and solar controller are connected to the established module unit to complete the hardware design of the monitoring system. The multi-source satellite remote sensing technology is used to define the multi-source image space, determine the location of the monitoring extreme point by decomposing the digital satellite image, and calculate the specific value of the similarity measurement index to complete the registration processing of the disaster meteorological image based on the multi-source satellite remote sensing. According to the upper unit network model, improve the connection form of WINSOCK control, realize the execution program preparation of the monitoring system, and complete the design of the disaster meteorological observation data monitoring system based on Multi-source Satellite Remote Sensing in conjunction with relevant sensor elements. The experimental results show that the error value between the humidity measurement curve, air pressure measurement curve and wind speed measurement curve of the multi-source satellite remote sensing technology design system and the real meteorological data sample is not more than 2%, and the disaster meteorological observation data can be accurately monitored.