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Proceedings Paper

LAnd surface remote sensing Products VAlidation System (LAPVAS) and its preliminary application
Author(s): Xingwen Lin; Jianguang Wen; Yong Tang; Mingguo Ma; Baocheng Dou; Xiaodan Wu; Lumin Meng
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Paper Abstract

The long term record of remote sensing product shows the land surface parameters with spatial and temporal change to support regional and global scientific research widely. Remote sensing product with different sensors and different algorithms is necessary to be validated to ensure the high quality remote sensing product. Investigation about the remote sensing product validation shows that it is a complex processing both the quality of in-situ data requirement and method of precision assessment. A comprehensive validation should be needed with long time series and multiple land surface types. So a system named as land surface remote sensing product is designed in this paper to assess the uncertainty information of the remote sensing products based on a amount of in situ data and the validation techniques. The designed validation system platform consists of three parts: Validation databases Precision analysis subsystem, Inter-external interface of system. These three parts are built by some essential service modules, such as Data-Read service modules, Data-Insert service modules, Data-Associated service modules, Precision-Analysis service modules, Scale-Change service modules and so on. To run the validation system platform, users could order these service modules and choreograph them by the user interactive and then compete the validation tasks of remote sensing products (such as LAI ,ALBEDO ,VI etc.) . Taking SOA-based architecture as the framework of this system. The benefit of this architecture is the good service modules which could be independent of any development environment by standards such as the Web-Service Description Language(WSDL). The standard language: C++ and java will used as the primary programming language to create service modules. One of the key land surface parameter, albedo, is selected as an example of the system application. It is illustrated that the LAPVAS has a good performance to implement the land surface remote sensing product validation.

Paper Details

Date Published: 8 November 2014
PDF: 8 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 926024 (8 November 2014); doi: 10.1117/12.2069081
Show Author Affiliations
Xingwen Lin, Xi'an Univ. of Science and Technology (China)
Institute of Remote Sensing and Digital Earth (China)
Jianguang Wen, Institute of Remote Sensing and Digital Earth (China)
Yong Tang, Institute of Remote Sensing and Digital Earth (China)
Mingguo Ma, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Baocheng Dou, Institute of Remote Sensing and Digital Earth (China)
Xiaodan Wu, Institute of Remote Sensing and Digital Earth (China)
Lumin Meng, Xi'an Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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