Automatic and robust method for relative radiometric calibration

2003 ◽  
Author(s):  
Gongjian Wen ◽  
Deren Li ◽  
Runsheng Wang
Keyword(s):  
Radiometric Calibration ◽  
Robust Method ◽  
Relative Radiometric Calibration

Towards a continuous NASA cloud climate data record from MODIS to VIIRS

2021 ◽  
Author(s):  
Kerry Meyer ◽  
Steven Platnick ◽  
Robert Holz ◽  
Steven Ackerman ◽  
Andrew Heidinger ◽  
...  
Keyword(s):  
Observation Time ◽  
Radiometric Calibration ◽  
Cloud Detection ◽  
Climate Data ◽  
Cloud Data ◽  
Microphysical Properties ◽  
Data Record ◽  
Climate Data Record ◽  
Relative Radiometric Calibration

<p>The Suomi NPP and JPSS series VIIRS imagers provide an opportunity to extend the NASA EOS Terra (20+ year) and Aqua (18+ year) MODIS cloud climate data record into the new generation NOAA operational weather satellite era. However, while building a consistent, long-term cloud data record has proven challenging for the two MODIS sensors alone, the transition to VIIRS presents additional challenges due to its lack of key water vapor and CO<sub>2</sub> absorbing channels available on MODIS that are used for high cloud detection and cloud-top property retrievals, and a mismatch in the spectral location of the 2.2µm shortwave infrared channels on MODIS and VIIRS that has important implications on inter-sensor consistency of cloud optical/microphysical property retrievals and cloud thermodynamic phase. Moreover, sampling differences between MODIS and VIIRS, including spatial resolution and local observation time, and inter-sensor relative radiometric calibration pose additional challenges. To create a continuous, long-term cloud climate data record that merges the observational records of MODIS and VIIRS while mitigating the impacts of these sensor differences, a common algorithm approach was pursued that utilizes a subset of spectral channels available on each imager. The resulting NASA CLDMSK (cloud mask) and CLDPROP (cloud-top and optical/microphysical properties) products were publicly released for Aqua MODIS and SNPP VIIRS in early 2020, with NOAA-20 (JPSS-1) VIIRS following in early 2021. Here, we present an overview of the MODIS-VIIRS CLDMSK and CLDPROP common algorithm approach, discuss efforts to monitor and address relative radiometric calibration differences, and highlight early analysis of inter-sensor cloud product dataset continuity.</p>

scholarly journals Long-Term Relative Radiometric Calibration and Antenna Pointing Estimation by Natural Targets

2013 ◽  
Vol 51 (8) ◽  
pp. 4388-4396 ◽  
Author(s):  
Andrea Monti Guarnieri ◽  
Stefano Tebaldini ◽  
Davide Giudici ◽  
Pietro Guccione
Keyword(s):  
Radiometric Calibration ◽  
Relative Radiometric Calibration

A study of calibration KOMPSAT-2 image by relative radiometric calibration

2011 ◽  
Author(s):  
Cheung Gil Jin ◽  
Ho Yong Ahn ◽  
Sun Gu Lee ◽  
Chul Uong Choi
Keyword(s):  
Radiometric Calibration ◽  
Relative Radiometric Calibration

A Relative Radiometric Calibration Method Based on Solar Diffuser Research for a Linear Array CCD Detector

2020 ◽  
Vol 40 (6) ◽  
pp. 0628002
Author(s):  
许和鱼 Xu Heyu ◽  
张黎明 Zhang Liming ◽  
李鑫 Li Xin ◽  
黄文薪 Huang Wenxin ◽  
司孝龙 Si Xiaolong ◽  
...  
Keyword(s):  
Linear Array ◽  
Calibration Method ◽  
Radiometric Calibration ◽  
Ccd Detector ◽  
Linear Array Ccd ◽  
Relative Radiometric Calibration
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