Abstract
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 NO2 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.
Highlights
In recent years, observation of the Earth by remote sensing (RS) has evolved from the relatively simple image interpretation phase into one of quantitative analysis
This subproject has been devoted to cooperative research on establishing a global radiometric calibration network with consistent quality and a demonstration of some of its applications
The results show that noise equivalent differential temperature (NEDT) values portant role in correction and analysis of in-flight performance
Summary
Observation of the Earth by remote sensing (RS) has evolved from the relatively simple image interpretation phase into one of quantitative analysis. As the number of Earth-observation satellites continues to increase, one of the major challenges for the scientific community is to ensure that the measurements are consistent and the absolute radiometric calibration of these spaceborne sensors is tied to the same SI-traceable scale. The lack of consistency of remote sensing data from different satellites and countries limits the value and scope of RS applications. Addressing these quality issues is an urgent and critical endeavor for the international science community
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