Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (9): 1-8.doi: 10.13474/j.cnki.11-2246.2021.0264

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DMSP-OLS and NPP-VIIRS night light image correction in China

GUAN Jingyun1,2, LI Dong1, WANG Yafei1, WANG Xinyun1   

  1. 1. College of Tourism, Xinjiang University of Finance & Economics, Urumqi 830012, China;
    2. College of Resources & Environment Science, Xinjiang University, Urumqi 830046, China
  • Received:2020-10-20 Revised:2021-07-16 Online:2021-09-25 Published:2021-10-11

Abstract: Based on the improvement of the traditional invariant target area correction method, this study selects the four-phase radiometric calibration reference image to perform saturation correction and time series continuity correction for DMSP-OLS images.The threshold method was used to remove the background noise and abnormal values of the NPP-VIIRS image, and the dynamic range of the light radiation value is compressed by the logarithmic transformation so that the brightness distribution is closer to the DMSP-OLS data.Then the NPP-VIIRS image was uniformly corrected through the BiDoseResp function model, and the long-time sequence of night light images from 1992 to 2019 was obtained.Finally, the accuracy of the calibration results is verified in terms of qualitative, quantitative, and the correlation between the corrected image and the socio-economic parameters.The results show that the improved correction method improves the severe saturation of DMSP-OLS images, and makes it obtain the longitudinal comparability of long-term series.The BiDoseResp function model can fit the regression between DMSP-OLS and logarithmic transformation NPP-VIIRS well.The corrected long-term sequence of light image data is highly consistent with the socio-economic parameters. The correction results are of great value to promote the wide application of long-time sequence night light images and to deepen the research of long-term sequence scientific problems.

Key words: DMSP-OLS image, NPP-VIIRS image, constant target area method, logarithmic transformation, intercalibration

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