A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product
Quantitative remote sensing product (QRSP) validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series. A web-based system named as LAnd surface remote sensing Product VAlidation system (LAPVAS) is desc...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-03-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2017.1320593 |
| _version_ | 1797678608709320704 |
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| author | Xingwen Lin Jianguang Wen Yong Tang Mingguo Ma Dongqin You Baocheng Dou Xiaodan Wu Xiaobo Zhu Qing Xiao Qinghuo Liu |
| author_facet | Xingwen Lin Jianguang Wen Yong Tang Mingguo Ma Dongqin You Baocheng Dou Xiaodan Wu Xiaobo Zhu Qing Xiao Qinghuo Liu |
| author_sort | Xingwen Lin |
| collection | DOAJ |
| description | Quantitative remote sensing product (QRSP) validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series. A web-based system named as LAnd surface remote sensing Product VAlidation system (LAPVAS) is described in this paper, which is used to implement the QRSPs validation process automatically. The LAPAVS has two subsystems, the Validation Databases Subsystem and the Accuracy Evaluation Subsystem. Three functions have been implemented by the two subsystems for a comprehensive QRSP validation: (1) a standardized processing of reference data and storage of these data in validation databases; (2) a consistent and comprehensive validation procedure to assess the QRSPs’ accuracy and uncertainty; and (3) a visual process customization tool with which the users can register new validation data, host new reference data, and readjust the validation workflows for the QRSP accuracy assessment. In LAPVAS, more than 100 GB of reference data warehoused in validation databases for 13 types of QRSPs’ validation. One of the key QRSPs, land surface albedo, is selected as an example to illustrate the application of LAPVAS. It is demonstrated that the LAPVAS has a good performance in the land surface remote sensing product validation. |
| first_indexed | 2024-03-11T23:02:22Z |
| format | Article |
| id | doaj.art-35440893307c4bf8aa86c0470db3e6c3 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:02:22Z |
| publishDate | 2018-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-35440893307c4bf8aa86c0470db3e6c32023-09-21T14:38:05ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552018-03-0111330832810.1080/17538947.2017.13205931320593A web-based land surface remote sensing products validation system (LAPVAS): application to albedo productXingwen Lin0Jianguang Wen1Yong Tang2Mingguo Ma3Dongqin You4Baocheng Dou5Xiaodan Wu6Xiaobo Zhu7Qing Xiao8Qinghuo Liu9Chinese Academy of SciencesChinese Academy of SciencesChinese Academy of SciencesSouthwest UniversityChinese Academy of SciencesBeijing Normal UniversityChinese Academy of SciencesSouthwest UniversityChinese Academy of SciencesChinese Academy of SciencesQuantitative remote sensing product (QRSP) validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series. A web-based system named as LAnd surface remote sensing Product VAlidation system (LAPVAS) is described in this paper, which is used to implement the QRSPs validation process automatically. The LAPAVS has two subsystems, the Validation Databases Subsystem and the Accuracy Evaluation Subsystem. Three functions have been implemented by the two subsystems for a comprehensive QRSP validation: (1) a standardized processing of reference data and storage of these data in validation databases; (2) a consistent and comprehensive validation procedure to assess the QRSPs’ accuracy and uncertainty; and (3) a visual process customization tool with which the users can register new validation data, host new reference data, and readjust the validation workflows for the QRSP accuracy assessment. In LAPVAS, more than 100 GB of reference data warehoused in validation databases for 13 types of QRSPs’ validation. One of the key QRSPs, land surface albedo, is selected as an example to illustrate the application of LAPVAS. It is demonstrated that the LAPVAS has a good performance in the land surface remote sensing product validation.http://dx.doi.org/10.1080/17538947.2017.1320593remote sensingvalidationsystemlapvasuncertainty informationalbedo |
| spellingShingle | Xingwen Lin Jianguang Wen Yong Tang Mingguo Ma Dongqin You Baocheng Dou Xiaodan Wu Xiaobo Zhu Qing Xiao Qinghuo Liu A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product International Journal of Digital Earth remote sensing validation system lapvas uncertainty information albedo |
| title | A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product |
| title_full | A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product |
| title_fullStr | A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product |
| title_full_unstemmed | A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product |
| title_short | A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product |
| title_sort | web based land surface remote sensing products validation system lapvas application to albedo product |
| topic | remote sensing validation system lapvas uncertainty information albedo |
| url | http://dx.doi.org/10.1080/17538947.2017.1320593 |
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