The DMSP-OLS NTL product suffers from three main problems, i.e.inter-annual inconsistency, saturation, and blooming effect which will affect the accuracy of urban extraction and the estimation of the social-economic indexes. To address these problems, we adopted three correction methods to rectify inter-annual inconsistency, saturation, and blooming effects. The code is written based on the Javascript API provided by the Google Earth Engine platform(https://earthengine.google.com/)

{"references": ["Cao, X., Hu, Y., Zhu, X., Shi, F., Zhuo, L., and Chen, J.: A simple self-adjusting model for correcting the blooming effects in DMSP-OLS nighttime light images, Remote Sensing of Environment, 224, 401-411, 2019.", "Hu, Y., Chen, J., Cao, X., Chen, X. H., Cui, X. H., and Gan, L. Q.: Correcting the Saturation Effect in DMSP/OLS Stable Nighttime Light Products Based on Radiance-Calibrated Data, Ieee Transactions on Geoscience and Remote Sensing, 60, 2022."]}