STUDY ON THE SPATIAL EVOLUTION OF SOYBEAN PLANTING STRUCTURE IN NENJIANG COUNTY IN RECENT 10 YEARS
China is the world's largest soybean importer.With the escalation of Sino-US trade war friction in recent years,the reduction of global trade exchanges caused by the impact of the new coronavirus,and the sudden decline of soybean exports caused by the war in Ukraine,China's soybean production is in potential danger.Studying the dynamic distribution and spatial evolution of soybean planting structure in major soybean producing areas is of great significance to China's food security and the volume of imported and exported soybeans.Based on Landsat series of multi-landscape images from 2011 to 2021,"3S"technology and random forest algorithm were used to obtain the regional soybean spatial area in Nenjiang city,Heilongjiang province,and the accuracy of sample points was verified by J-M distance.Finally,the spatial and temporal evolution characteristics of soybean planting structure in Nenjiang city,Heilongjiang province were analyzed by landscape pattern index method.The results showed the soybean planting area in Nenjiang city of Heilongjiang province decreased first and then increased,and the main planting area increased from northeast to southwest and southeast from 2011 to 2021.And the total area of soybean increased mainly,but the area changed greatly by stages.In summary,this research studies the spatial evolution of soybean planting structure in Nenjiang city,Heilongjiang province by using remote sensing images in recent 10 years,so as to serve as a basis for adjusting crop planting structure and optimizing food security in Northeast China,and provide references for formulating national food production policies.
Keyzword remote-sensing imagerandom forestJ-M distancesoybeanNenjiang citylandscape pattern index
NETL
NSTL
万方数据
