Paper
10 October 2017 Ground-based automated radiometric calibration system in Baotou site, China
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Abstract
Post-launch vicarious calibration method, as an important post launch method, not only can be used to evaluate the onboard calibrators but also can be allowed for a traceable knowledge of the absolute accuracy, although it has the drawbacks of low frequency data collections due expensive on personal and cost. To overcome the problems, CEOS Working Group on Calibration and Validation (WGCV) Infrared Visible Optical Sensors (IVOS) subgroup has proposed an Automated Radiative Calibration Network (RadCalNet) project. Baotou site is one of the four demonstration sites of RadCalNet. The superiority characteristics of Baotou site is the combination of various natural scenes and artificial targets. In each artificial target and desert, an automated spectrum measurement instrument is developed to obtain the surface reflected radiance spectra every 2 minutes with a spectrum resolution of 2nm. The aerosol optical thickness and column water vapour content are measured by an automatic sun photometer. To meet the requirement of RadCalNet, a surface reflectance spectrum retrieval method is used to generate the standard input files, with the support of surface and atmospheric measurements. Then the top of atmospheric reflectance spectra are derived from the input files. The results of the demonstration satellites, including Landsat 8, Sentinal-2A, show that there is a good agreement between observed and calculated results.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Wang, Chuanrong Li, Lingling Ma, Yaokai Liu, Fanrong Meng, Yongguang Zhao, Bo Pang, Yonggang Qian, Wei Li, Lingli Tang, and Dongjin Wang "Ground-based automated radiometric calibration system in Baotou site, China", Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104271J (10 October 2017); https://doi.org/10.1117/12.2278072
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Reflectivity

Satellites

Remote sensing

Sensors

Earth observing sensors

Environmental sensing

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