期刊文献+

温室气体遥感反演系统的设计与实现 被引量:1

Design and Implementation of Remote Sensing Retrieval System for Greenhouse Gases
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摘要 设计并实现了温室气体遥感反演系统,主要包括两个部分:温室气体遥感自动反演处理和多源卫星数据交叉验证.系统采用.NET框架和IDL程序相结合,快速自动地对卫星遥感数据进行反演运算,同时得到主要温室气体反演产品的柱浓度时空分布.系统可以方便地将地基观测数据和国际主要的卫星产品数据进行验证对比和精度分析.应用结果表明,该系统基本满足温室气体遥感监测业务需求,能够提高环保部门的监测能力,在温室气体遥感监测和评价中发挥了重要作用. As satellite remote sensing technology developed,a series of satellites that are able to detect atmospheric greenhouse gases have been launched.Satellite remote sensing monitoring offers a new insight into the magnitude of regional sources and sinks,and can help to overcome the large uncertainties associated with the upscaling and interpretation of data from the earths surface. Greenhouse gases remote sensing monitoring system is implementation of greenhouse gases remote sensing applied technologies.This paper discusses the business application mode,operation scheme and application technology system of greenhouse gases remote sensing monitoring based on multi-source remote sensing data.The system analysis of greenhouse gases remote sensing monitoring is introduced in this paper,which include data flow analysis,transaction flow analysis,system structure analysis and core functions analysis.This system comprises two major parts:greenhouse gases remote sensing monitoring and satellite data validation.The function of greenhouse gases monitoring implements the daily,monthly and yearly remote sensing retrievals of greenhouse gases and automatic production of thematic map.The validation function compares of CO2 and CH4 monthly mean product data derived from Scanning Imaging Absorption Spectrometer for Atmospheric Cartography(SCIAMACHY),Greenhouse Gases Observing Satellite(GOSAT)and Atmospheric Infrared Sounder(AIRS),with reference to calibration data obtained using the high-resolution groundbased Fourier Transform Spectrometers(g-b FTS)in the Total Carbon Column Observing Network(TCCON). These results are all visually analyzed in this system.The prototype system is constructed using.NET,ArcEngine and IDL mixing programming language and its application example are presented.System application results show that this system meets the remote sensing monitoring requirements using greenhouse gases monitoring business applications model to improve the monitoring capability of environmental protection department.This system canplay an important role in the greenhouse gases remote sensing monitoring and evaluation.
出处 《河南大学学报(自然科学版)》 CAS 北大核心 2014年第3期339-346,共8页 Journal of Henan University:Natural Science
基金 国家环境保护公益性行业科研专项(200909018) 资源与环境信息系统国家重点实验室青年人才培养基金项目
关键词 温室气体 遥感反演 卫星产品验证 可视化分析 greenhouse gases remote sensing retrievals satellite product validation visualized analysis
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参考文献21

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