This invention provides a method,
system,
computer equipment, and storage medium for correcting nighttime light
remote sensing data, belonging to the field of urban
environmental monitoring technology. The method includes: using a multi-source
remote sensing sensor to statistically analyze the impermeable and non-impermeable
layers in a target area, and calculating a multi-
source data consistency index (CI); using the CI to correct the impermeable layer classification results of the target area; and based on the corrected impermeable layer classification results, counting the number N of impermeable layer pixels within the target area. b Number of pixels N in impermeable layer n , using N b and N n Calculate the proportion P of the impermeable layer within a unit pixel. b Using the nighttime light
remote sensing brightness value NTL and the proportion of impermeable layer per unit pixel P b A calibration model was constructed to effectively reduce light spillover interference in impermeable areas, significantly improve the accuracy of impermeable layer data, and provide high-precision data support for
urban expansion monitoring,
light pollution assessment, and socio-economic activity analysis.