Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project
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 va...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/24/4996 |
| _version_ | 1797501066865016832 |
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| author | Lingling Ma Yongguang Zhao Chuanrong Li Philippe Goryl Cheng Liu Jieying He Pucai Wang Marc Bouvet Ran Zhao Ning Wang Yaokai Liu Caixia Gao Bart Dils Chengxin Zhang Ka Lok Chan Xinhong Wang |
| author_facet | Lingling Ma Yongguang Zhao Chuanrong Li Philippe Goryl Cheng Liu Jieying He Pucai Wang Marc Bouvet Ran Zhao Ning Wang Yaokai Liu Caixia Gao Bart Dils Chengxin Zhang Ka Lok Chan Xinhong Wang |
| author_sort | Lingling Ma |
| collection | DOAJ |
| description | 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 NO<sub>2</sub> 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. |
| first_indexed | 2024-03-10T03:12:59Z |
| format | Article |
| id | doaj.art-cc2807feaad44a5d969287b5c4abfd6b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:12:59Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-cc2807feaad44a5d969287b5c4abfd6b2023-11-23T10:23:22ZengMDPI AGRemote Sensing2072-42922021-12-011324499610.3390/rs13244996Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 ProjectLingling Ma0Yongguang Zhao1Chuanrong Li2Philippe Goryl3Cheng Liu4Jieying He5Pucai Wang6Marc Bouvet7Ran Zhao8Ning Wang9Yaokai Liu10Caixia Gao11Bart Dils12Chengxin Zhang13Ka Lok Chan14Xinhong Wang15Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaEuropean Space Agency (ESA/ESRIN), Largo Galileo Galilei 1, 00044 Frascati, ItalyKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, ChinaLAGEO&CNRC, the Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaEuropean Space Agency (ESA/ESTEC), Keplerlaan 1, PB 299, 2200 AG Noordwijk, The NetherlandsKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaRoyal Belgian Institute for Space Aeronomy, Ringlaan 3 Avenue Circulaire, 1180 Brussels, BelgiumDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, ChinaRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR), 82234 Oberpfaffenhofen, GermanyKey Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaRobust 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 NO<sub>2</sub> 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.https://www.mdpi.com/2072-4292/13/24/4996calibration and validationRadCalNetmicrowave sensorNO<sub>2</sub> retrieval |
| spellingShingle | Lingling Ma Yongguang Zhao Chuanrong Li Philippe Goryl Cheng Liu Jieying He Pucai Wang Marc Bouvet Ran Zhao Ning Wang Yaokai Liu Caixia Gao Bart Dils Chengxin Zhang Ka Lok Chan Xinhong Wang Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project Remote Sensing calibration and validation RadCalNet microwave sensor NO<sub>2</sub> retrieval |
| title | Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project |
| title_full | Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project |
| title_fullStr | Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project |
| title_full_unstemmed | Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project |
| title_short | Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project |
| title_sort | calibration and data quality assurance technical advancements for quantitative remote sensing in the dragon 4 project |
| topic | calibration and validation RadCalNet microwave sensor NO<sub>2</sub> retrieval |
| url | https://www.mdpi.com/2072-4292/13/24/4996 |
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