Abstract
This paper provides a dataset of monthly river pollution index from April 2012 to October 2021 in China based on the published HydroSHEDS dataset and the monthly composite data of NPP-VIIRS night light. Firstly, we extracted the river sections in China from HydroSHEDS, and corrected unreasonable river sections in accordance with the authoritative river data. Secondly, we overlyed the river sections layer and NPP-VIIRS grid to identify the pixels flowing through the water system, and extracted the value of each pixel from the NPP-VIIRS grid. Then, taking the 10 × 10 km grid as the unit, comprehensively considering the flow, brightness and river length of each unit, we designed the river light pollution indexes, and calculated the monthly river light pollution index of each unit. Finally, we obtained a dataset of monthly light pollution index of rivers with the resolution of 10 × 10 km. As the first dataset of river light pollution, this dataset reflects the temporal and spatial distribution and evolution pattern of river light pollution in China, and it can provide reference for river development degree and interference degree evaluation, light pollution analysis and other research.
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