基于夜间灯光的国家级贫困县脱贫效果监测

Monitoring the effect of Poverty Alleviation in State-level Poor Counties Based on Night Light

文章基于NPP-VIIRS夜间灯光遥感影像数据对我国国家级592个贫困县在长时间序列发展的情况展开监测研究分析。该研究借鉴可持续生计框架模型在贫困研究中的应用,选取NPP-VIIRS月度复合数据为原始数据,从长时序的角度分析了我国贫困县的时空格局演变趋势。结果表明:夜间灯光指数与多维贫困指数线性相关性最强,2012至2019年总夜间灯光亮度先下降后上升,贫困县总灯光显著增长,2019年夜间灯光值增长率是129.52%。增长率最高的县为囊谦县,增长率最低的县是尼勒克县,处于低速发展的贫困县最多,高速发展的贫困县最少,总灯光值整体向东南方向迁移。

Based on NPP-VIIRS night light remote sensing image data,this paper conducted a monitoring and analysis on the long-term development of 592 national poverty-stricken counties in China.Based on the application of sustainable livelihood framework model in poverty research,this study selected NPP-VIIRS monthly composite data as the original data to analyze the temporal and spatial pattern evolution trend of poverty counties in China from the perspective of long time series.The results show that the linear correlation between night light index and multidimensional poverty index is the strongest.From 2012 to2019,the total night light intensity decreased first and then increased,and the total light intensity of poverty-stricken counties increased significantly,with a growth rate of 129.52%in 2019.Nangqian county has the highest growth rate,and Nilak County has the lowest growth rate.The number of poor counties in low speed development is the most,and the number of poor counties in high speed development is the least.The total light value of nangqian county migrates to the southeast as a whole.