| Since the 18th National Congress of the Communist Party of China,the development concept that lucid waters and lush mountains are invaluable assets has been highly respected,and governments at all levels have actively implemented the green development strategy.Facing the new situation and new requirements,how to effectively monitor the synergy of economic and ecological benefits in the process of urban development in various places,especially in poor counties,has become an urgent research topic.Based on multi-source remote sensing images such as night light remote sensing,this paper takes Changting County,Fujian Province,a provincial poverty-stricken county as the research area,combined with auxiliary data such as social statistical data and land use type maps.The evolution situation and the coordinated development of the two are analyzed,and the driving factors and countermeasures are analyzed based on the research results.The research shows that multi-source remote sensing images can be used to monitor the coordinated development of economic and ecological benefits in poverty-stricken counties,and provide scientific reference for corresponding government decision-making.The main research contents and results of this paper are as follows:(1)Suitability evaluation.In this paper,noise removal and inter-annual image correction are carried out for NPP-VIIRS like nighttime light data,and the data suitability is evaluated from qualitative analysis and quantitative calculation.The experimental results show that the corrected image light pixel number and total light intensity of poor counties show an exponential increasing trend from 2000 to 2020,showing good consistency and continuity.Further fitting analysis of the corrected data and socio-economic statistical data shows that the correlations of the constructed multivariate linear fitting models are all above 0.95,which is better than the linear model.In the ecological model construction,based on the greenness index,humidity index,heat index,dryness index and impervious surface index,the average correlation between the constructed component index and the Remotely Sensed Urban Surface Ecological Index(RSUEI)is all greater than 0.75.The analysis shows that,compared with the component indicators,the constructed RSUEI index can better represent the ecological quality and environment of the study area.(2)Economic Development Evaluation of Changting County Based on Nighttime Light Remote Sensing.Calculation of spatial expansion direction distribution of night light images in Changting County by standard deviation ellipse.The study shows that from 2000 to 2020,the center of the urban standard deviation ellipse in Changting County moved to the south-east direction at a speed of 316.28meters per year,and the total distance was 6325.59 meters.The urban expansion area expanded by 174.25km~2at an average rate of 8.71km~2per year.Through spatial autocorrelation analysis and hot spot analysis,it can be found that the aggregation pattern of Changting County presents obvious spatial autocorrelation,indicating that it is in a state of continuous aggregation pattern in urban development.(3)Ecological quality assessment based on Landsat remote sensing images.Analysis of long-term ecological quality evolution analysis from five single indicators,namely greenness,humidity,heat,dryness,and impervious surface.The RSUEI index was synthesized by the principal component analysis method,and the characteristics and interrelationships of the RSUEI in different time periods were quantitatively analyzed and compared.The results show that the mean value of RSUEI has increased from 0.628 in 2000 to 0.719 in 2020,indicating that the regional ecological level of Changting County has been greatly improved.Through cluster analysis,the spatial map of agglomeration from 2000 to 2020 was obtained,and the degree of aggregation continued to decrease,and the environmental quality locally became better.Through the analysis of hot spots and the distribution of cities and towns,it can be seen that the cold-spot areas are mainly distributed in the urban areas along both banks of the river,and the hot-spot areas are distributed around the towns.(4)Coupling coordination analysis and visualization.Constructing a coupling coordination model of night light index for economic development and improved remote sensing ecological index for ecological monitoring.The results show that the ecological environment level of Changting has maintained a high level for a long time,and the whole has been improved.The degree of coupling and coordination between economic development indicators and ecological environment monitoring data is increasing year by year,from a low-coupling coordination stage to a high-coupling coordination stage.It further shows that adhering to the development concept of"lucid waters and lush mountains are invaluable assets"is an effective guiding ideology to achieve a win-win situation between ecological and economic benefits in impoverished counties.Finally,based on the Geo Scene Online cloud platform,this paper constructs a visualization system of"One Map of Green Water and Green Mountains".By placing the night light remote sensing image of Changting County and the remote sensing ecological index image in the same system,the coordinated development and changes of the economy and the environment can be visually displayed. |
