Abstract: DMSP-OLS nighttime light remote sensing data is terminated in 2013 and has been replaced by NPP-VIIRS nighttime light data. Therefore,in order to better serve the study of human activities with a longer time span,it is necessary to integrate the two types of nighttime light data to obtain a stable nighttime light dataset with a long time series. In this paper,two kinds of data integration methods based on resampling method are proposed to simulate NPP-VIIRS data from 2013 to 2020,and finally it establishes the 1992—2020 long time series correction-simulated DMSP-OLS NTL remote sensing data set. The evaluation shows that the integration method based on resampling method is effective (Pearson correlation coefficient ρ=0.985 2 for urban areas,RMSE=3.460 7),and the obtained integration data set is highly consistent with the relevant socio-economic reference (ρ=0.946 for the sum of image DN values and GDP,ρ=0.971 for population,Quadratic polynomial model fitting R²≈0.98,RMSE<5.55),which is superior to existing studies. So this NTL integration data set can support the study of long time series based on nighttime light images.

Key words: DMSP-OLS, NPP-VIIRS, nighttime light remote sensing, data integration, resampling