Error traceability in remote sensing product production and validation： Methods and applications

LI Ziwei; WEN Jianguang; XIAO Qing; YOU Dongqin; TANG Yong; WU Xiaodan; LIN Xingwen; PIAO Sen; ZHAO Na; LI Ququ

doi:10.11834/jrs.20254475

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Error traceability in remote sensing product production and validation： Methods and applications
“Remote sensing products are an important source of data for monitoring Earth resources. With the continuous improvement of product production and service systems, it is urgent to promote the development of high-quality remote sensing products. The quality problem of remote sensing products is the result of the comprehensive influence of multiple sources of errors. Although its overall accuracy can be calculated through authenticity testing, it cannot reflect in detail the specific sources and sizes of errors in each link. To ensure the reliability of remote sensing products, the Earth Quality Assurance Framework (QA4EO) emphasizes the traceability of remote sensing product errors, aiming to trace the errors of remote sensing products to a unified reference benchmark or international standard. This article focuses on error tracing in the production and inspection of remote sensing products, with reference to value tracing methods. It analyzes the sources of measurement and remote sensing product errors, explains the basic connotations of authenticity testing and error tracing, summarizes the basic methods and typical applications of error tracing in remote sensing product production and inspection, and looks forward to the future development trend of error tracing. The results indicate that the current basic methods for error tracing mainly cover three categories: uncertainty based tracing methods, error decomposition and inversion methods, and comprehensive methods for algorithm evaluation and authenticity verification. These methods are typically used for authenticity verification reference values and error tracing of remote sensing basic radiation products. In the future, developing a full chain error propagation model and establishing traceable quality identification is the key to breaking through the bottleneck of traceability. This study can provide theoretical and technical support for further realizing the production and authenticity verification of remote sensing products. The research progress in the field of remote sensing product production and inspection was introduced. Experts focused on error traceability and established a value traceability system to provide solutions for solving the quality problems of remote sensing products.”
- role：First author第一作者
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Email：liziwei22@mails.ucas.ac.cn
- Introduction：李子薇，研究方向为遥感真实性检验。E-mail： liziwei22@mails.ucas.ac.cn
LI Ziwei
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Email：wenjg@irsa.ac.cn
- Introduction：闻建光，研究方向为遥感辐射传输建模与试验遥感。E-mail： wenjg@irsa.ac.cn
WEN Jianguang
12 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
XIAO Qing
12 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
YOU Dongqin
1 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
TANG Yong
1 * ,
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
WU Xiaodan
3 * ,
- Affiliation：
  College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
LIN Xingwen
4 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
PIAO Sen
1 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
ZHAO Na
1 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
LI Ququ
12 *
Vol. 29, Issue 12, Pages: 3666-3678(2025)
DOI：10.11834/jrs.20254475
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Error traceability in remote sensing product production and validation： Methods and applications

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Error traceability in remote sensing product production and validation： Methods and applications

LI Ziwei

WEN Jianguang

XIAO Qing

YOU Dongqin

TANG Yong

WU Xiaodan

LIN Xingwen

PIAO Sen

ZHAO Na

LI Ququ

DOI：10.11834/jrs.20254475

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