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Proceedings Paper

Progress of calibration and validation for quantitative remote sensing in China
Author(s): Chuanrong Li; Lingli Tang; Lingling Ma; Yongsheng Zhou; Ning Wang; Caixia Gao; Xinhong Wang
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Paper Abstract

Calibration and validation (Cal and Val) is one of the most important quality assurance means for satellite payload performance and data quality which has actually restricted RS applicable scope. It has aroused various attentions from academia and industries in recent few decades. The challenges include the lack of consistent RS assessment standard, the uncertainties introduced by atmospheric effect, as well as the gaps in non-synchronous measurements between satellite and field observation. As one of the countries which launched the largest number of earth observation satellites/payloads in last five years, China engaged to solve various challenges of Cal and Val for quantitative RS applications. Several reprehensive works were introduced, including the development of remote sensing technology standardization, the stepwise Cal and Val system, China’s Baotou comprehensive Cal/Val site, automatic in-situ calibration exploration, etc. All these works mitigated the uncertainties of RS measurement and enhanced the precision of quantitative remote sensing.

Paper Details

Date Published: 5 December 2014
PDF: 7 pages
Proc. SPIE 9264, Earth Observing Missions and Sensors: Development, Implementation, and Characterization III, 92640T (5 December 2014); doi: 10.1117/12.2068670
Show Author Affiliations
Chuanrong Li, Academy of Opto-Electronics (China)
Lingli Tang, Academy of Opto-Electronics (China)
Lingling Ma, Academy of Opto-Electronics (China)
Yongsheng Zhou, Academy of Opto-Electronics (China)
Ning Wang, Academy of Opto-Electronics (China)
Caixia Gao, Academy of Opto-Electronics (China)
Xinhong Wang, Academy of Opto-Electronics (China)

Published in SPIE Proceedings Vol. 9264:
Earth Observing Missions and Sensors: Development, Implementation, and Characterization III
Xiaoxiong Xiong; Haruhisa Shimoda, Editor(s)

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