Spatiotemporal Evolution Analysis of Maize-Soybean Planting Structure in Bei'an City Based Iamges
The objective of this study is to explore the spatial and temporal distribution characteristics of grain crop planting structure,which is conducive to exploring the implementation of crop rotation system,further opti-mizing the production pattern,improving economic benefits and ensuring food security.In this paper,corn and soybean were selected as the research objects,and Bei'an City,Heilong Province was selected as the study area,and the GF-1 image was used as the data source to calculate the ratio vegetation index(RVI),differential vegeta-tion index(DVI),transformed vegetation index(TVI),improved chlorophyll uptake ratio index(MCARI)and gray co-occurrence matrix(GLCM)texture features in the vegetation index(Entropy)was used as the optimal feature level.Combined with the random forest classification algorithm,the maize and soybean in the experimental area were classified.The results show that ① The overall classification accuracy of random forest algorithm and the classification accuracy of single types of ground objects can reach an average of 90％,and the Kappa coefficient can reach 0.9.② The soybean planting area increased from 582.81 km2 in 2013 to 2029.42 km2 in 2016.In 2017,it was basically the same as in 2016,and the soybean planting area decreased to 925.31 km2 in 2018,and the soybean planting area stabilized at 1100 km2 from 2020 to 2022.③ From 2013 to 2014,the maize planting area in Bei'an City increased.From 2014 to 2016,the maize planting area decreased from 1687.46 km2 in 2014 to 1031.7 km2 in 2016.In 2017 and 2018,it was basically the same as that in 2016,and decreased to 551.1 km2 in 2020.In 2021,it rose to 1386.77km2 and decreased slightly in 2022.It is concluded that after the implementation of the crop rota-tion system in Heilongjiang Province in 2016,the soybean planting area in Bei'an City showed an upward trend as a whole,and the corn planting area in Bei'an City was less affected by price changes and other factors from 2013 to 2016,indicating that the inherent demand index of maize was higher than that of soybean,and the maize-soy-bean compound planting belt was gradually formed.
remote sensingevolution of maize and soybean planting structurecrop classificationGF-1
NETL
NSTL
万方数据
