Construction And Application Of Urban Nighttime Light Environment Inversion Method Based On Remote Sensing And Field Measurement

With the expansion of urban scale and the complexity and change of urban nighttime illumination,both remote sensing and actual measurement technology have certain limitations in the research of urban nighttime light environment.The actual measurement technology has accurate measurement data,but the research scope is limited by the number of measurement instruments and the accessibility of the measurement area.Although remote sensing observation technology has the characteristics of large-scale and high-precision,it lacks the commonly used radiation calibration and systematic data processing methods in the construction field.Therefore,this paper uses correlation analysis,regression model and other methods to explore the collaborative observation mechanism and data processing method with the advantages of telemetry and actual measurement and provides research methods and data support for large-scale,high-precision urban night light environment research.The main research contents of this paper are as follows:(1)Spatiotemporal evolution and current situation of night light environment in Dalian based on remote sensing observationIntegrate Luojia’s high-resolution luminous radiance data,DMSP,VIIRS long-time sequence luminous image data,and build an important city remote sensing nightlight database.Evaluate Dalian’s night light environment positioning in 36 important cities in China from two dimensions: evolution and status quo.Based on the comparison of the three kinds of satellite data,the feasibility of the Luojia data small-scale research is established.Use Luojia data to conduct street-scale luminous environment zoning research in Dalian,and extract typical streets in light environment.(2)Extraction of inversion parameters based on ground measurementCombine the characteristics of remote sensing data collection to establish a ground light environment measurement method.Collect ground data of 4 regions,3 spatial angles,and 3light environment parameters,and build a ground database in GIS.Based on the comparison of the numerical relationship between the vertical and horizontal spatial levels of the light environment,the spatial characteristics of the night light environment inside the city are analyzed,and the focus of the ground light environment inversion research is clarified.(3)"Heaven and Earth Synergy" urban night light environment retrieval method based on telemetry and actual measurement correlationCompare the correlation between Luojia luminous radiance data and 9 sets of measured data of ground through different windows and different light environment parameters.Select the highest correlation horizontal window illuminance measured data and Luojia radiance data for regression analysis.The mathematical inversion model of surface illuminance is established by the cubic polynomial model with the lowest RMSE among the six regression models.The inversion result not only has photometric calibration,but also is superior to the original data in terms of population data relevance and data accuracy.(4)Construct application scenarios of inversion results in urban night light environment researchTaking feeling of safety for urban night light environment(Fos)as an example,through the process of "data association-mapping-risk point capture-field investigation-governance plan",the application method of illumination inversion results in urban light environment governance is constructed.First,establish a multi-parameter recursive model of Fos and illuminance,and extract 4 Fos-level illuminance thresholds.Subsequently,the inversion data is reclassified in GIS,and the city Fos map is drawn to realize the precise location of risk points.Finally,through on-site investigations,analyze the causes of risk points and propose a governance plan.In summary,the research uses remote sensing observation,ground survey,geospatial analysis,mathematical statistics and other technical means,which provides a new research method for large-scale,high-precision urban night light environment research,and provides data support for urban night light environment construction and governance.