Study On The Changes Of Urban Patterns In Yunnan-Burma Region Based On Night Lights

The Yunnan-Burma region is in an important strategic position for the construction of the “Belt and Road” and “Sino-Myanmar Economic Belt”.The development of this region plays a vital role in China’s social and economic construction.The night lighting data can reflect the socio-economic and urban development status of an area.The analysis of the changes in the night-time lighting pattern of the Yunnan-Burma region can explore the changes in the urban development pattern of the area,and the development,positioning,planning and policies of the area.It has important reference value.Currently,there are three main types of night light data used in the study,namely DMSP / OLS,NPP / VIIRS and Luojia No.1 night light data,but these night light data have large differences in image performance,and the mismatch of parameter information Difficulties arise in the study of long-term sequences of night lights.First of all,this article takes DMSP / OLS night light data as a reference,performs pixel fitting on NPP / VIIRS night light data and DMSP / OLS night light data,and applies the fitting model to NPP / VIIRS night light data to achieve integration The purpose of the two kinds of night light data,and on this basis,the DMSP / OLS night light data is processed relatedly using the invariable target zone method.Then,using the feature that DMSP / OLS data does not have background noise,the NPP / VIIRS data is noised,and the invalid night lights reflected by the rivers and lakes in the image are removed.Then,the indicators and models such as the sum of night light values,standard deviation ellipse,landscape pattern index and Zip rule are applied to the analysis of the night light pattern in the Yunnan-Burma region.More than ten kinds of indicators or models,such as the order-scale rule,analyze the night light pattern in the Yunnan-Myanmar region,and summarize the changes in the night light pattern in the Yunnan-Myanmar region from the aspects of the scale,shape and structure of the night light.The main research conclusions of this paper are as follows:(1)The method of integrating two types of noctilucent data resources for long-term sequential night light research in this paper is feasible.The DMSP/OLS simulation data based on NPP/VIIRS data has high similarity with the real DMSP/OLS data.The Pearson correlation coefficients(r)in 2012 and 2013 reached 0.89 and 0.85,respectively,and the standard error(RMSE)dropped to 7.15 And 6.25,showing that the method of data integration is feasible and has achieved good results.(2)During the study period,the total night light value(TDN)in Yunnan and Myanmar increased by 2.32 times,Yunnan increased by 1.88 times,and Myanmar increased by 3.94 times.The scale of night lights in Yunnan is larger than that of Myanmar,but the growth rate is far less than that of Myanmar.The growth rates of TDN in the two regions are 188.27% and 394.73%,respectively.The main driving force for the growth of TDN in Yunnan comes from Kunming,Qujing,Honghe,Yuxi and other regions.The main driving force for the growth of TDN in Myanmar comes from Mandalay,Chan State,Bago and other regions.(3)The center of gravity of the night lights in the entire study area shifted to the northeast direction,and the speed of the shift first increased and then decreased.The night light center of gravity shifts in Myanmar and Yunnan also show the same pattern.(4)During the study period,the night light image patches tended to be complicated and centralized.