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Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project

文献类型：期刊论文

作者Ma, Lingling11; Zhao, Yongguang11; Li, Chuanrong11; Goryl, Philippe10; Liu, Cheng8,9; He, Jieying7; Wang, Pucai5,6; Bouvet, Marc4; Zhao, Ran3,9; Wang, Ning11
刊名REMOTE SENSING
出版日期2021-12-01
卷号13
关键词calibration and validation RadCalNet microwave sensor NO2 retrieval
DOI10.3390/rs13244996
通讯作者Zhao, Yongguang(zhaoyg@aircas.ac.cn)
英文摘要Robust calibration and validation (Cal and Val) should guarantee the accuracy of the retrieved information, make the remote sensing data consistent and traceable, and maintain the sensor performance during the operational phase. The DRAGON program has set up many remote sensing research topics on various application domains. In order to promote the effectiveness of data modeling and interpretation, it is necessary to solve various challenges in Cal and Val for quantitative RS applications. This project in the DRAGON 4 program aims to promote the cooperation of the Cal and Val experts from European and Chinese institutes in Cal and Val activities, and several achievements have been obtained in the advanced on-orbit optical sensor calibration, as well as microwave remote sensor calibration and product generation. The outcomes of the project have benefited the related remote sensing modeling and product retrieval, and promoted the radiometric calibration network (RadCalNet) as an international operational network for calibration, intercalibration, and validation. Moreover, this project provided local governments with a more accurate OMI NO2 data in China, which were used to study the air quality control during APEC period, Parade period and G20 period. This will be of ongoing be value for monitoring atmospheric environmental quality and formulating pollution control strategies.
WOS关键词MAX-DOAS OBSERVATIONS ; TROPOSPHERIC NO2 ; HCHO ; SO2 ; CHINA ; OMI
资助项目National Key Research and Development Program of China[2018YFB0504800] ; National Key Research and Development Program of China[2018YFB0504801] ; Bureau of International Co-operation Chinese Academy of Sciences[181811KYSB20160040] ; DRAGON 4 ESA-MOST Cooperation program[32426_1]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000737381900001
资助机构National Key Research and Development Program of China ; Bureau of International Co-operation Chinese Academy of Sciences ; DRAGON 4 ESA-MOST Cooperation program
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/127139]  
专题中国科学院合肥物质科学研究院
通讯作者Zhao, Yongguang
作者单位1.German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, D-82234 Oberpfaffenhofen, Germany
2.Royal Belgian Inst Space Aeron, Ringlaan 3 Ave Circulaire, B-1180 Brussels, Belgium
3.Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Peoples R China
4.European Space Agcy ESA ESTEC, Keplerlaan 1,PB 299, NL-2200 AG Noordwijk, Netherlands
5.Chinese Acad Sci, Inst Atmospher Phys, CNRC, Beijing 100029, Peoples R China
6.Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing 100029, Peoples R China
7.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
8.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China
9.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
10.European Space Agcy ESA ESRIN, Largo Galileo Galilei 1, I-00044 Frascati, Italy
推荐引用方式
GB/T 7714		 Ma, Lingling,Zhao, Yongguang,Li, Chuanrong,et al. Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project[J]. REMOTE SENSING,2021,13.
APA Ma, Lingling.,Zhao, Yongguang.,Li, Chuanrong.,Goryl, Philippe.,Liu, Cheng.,...&Wang, Xinhong.(2021).Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project.REMOTE SENSING,13.
MLA Ma, Lingling,et al."Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project".REMOTE SENSING 13(2021).

入库方式： OAI收割

来源：合肥物质科学研究院

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