Research On The Effect Evaluation Of Rural Construction Based On Nighttime Light Remote Sensing

Rural construction is the basis for the realization of the rural revitalization strategy,and also an important part of the construction of national modernization.China has a high proportion of rural land and a large rural population base.The importance of actively promoting rural construction is self-evident.2020 is the year for China to build a moderately prosperous society in an all-round way.To accurately evaluate the effect of rural construction in China is an extension of the achievements of poverty alleviation in China.The use of nighttime-light remote sensing technology can objectively and accurately monitor the development of county villages in China,providing data support for the government to accurately implement policies and scientific management on rural construction issues.Based on the nighttime light remote sensing data of NPP-VIIRS,this paper uses the sustainable livelihood framework for reference to build a sustainable livelihood indicator system to evaluate the national county rural construction achievements.Select 13 indicators from the financial,social,material,human and natural dimensions of 38 counties in Chongqing,calculate the weight of each indicator using the entropy method,build the sustainable livelihood index(SLI)of 38 districts and counties in Chongqing,and establish a regression analysis model with the nighttime light index.Through comparison and verification,it is found that the average nighttime light index(ANLI)is better than the total nighttime light index(TNLI)in estimating the sustainable livelihood index,The power model has the highest fitting degree,R~2 is 0.82,and the average relative error is only 0.377%,with high accuracy.Finally,the power model is extended to the national scale to calculate the sustainable livelihood index of the whole country from 2012 to 2021.The spatial pattern of county development was analyzed.The sustainable livelihood index of the whole country in 2021 was classified by using the cluster analysis method,and the spatial pattern map of the national sustainable livelihood index was obtained.The spatial analysis of the whole country was carried out by using the scale of administrative regions and provincial administrative regions,and the cluster analysis of the sustainable livelihood index of the whole country was carried out by using the methods of global autocorrelation and local autocorrelation analysis,Moran’s I=0.724,indicating that there is a strong aggregation effect in the country’s counties.Carry out long-term time series analysis on the development of the county,classify the sustainable livelihood index by using the cluster analysis method,and evaluate the development of the county in the past 10years from the two dimensions of the"grade"quantity change and the growth rate of the county sustainable livelihood index.It is found that the growth rate of the county sustainable livelihood index in the central and western regions is fast,while the growth rate in the eastern regions is slow.In combination with the"List of National Rural Revitalization Demonstration Counties in 2022",the counties with the highest sustainable livelihood index among the seven administrative regions are identified as typical rural construction research objects,their development models and policy measures are analyzed and discussed,and countermeasures and suggestions based on the sustainable livelihood framework are put forward to provide certain reference for rural revitalization in the post-era.