Study on the Spatio-Temporal Changes of Tea Planting Area Based on Multi-Source Remote Sensing
Tea is one of the important economic tree species.Studying the spatial and temporal changes of tea production is of great significance for optimizing the tea layout in Henan Province.Based on Landsat and Sentinel-2 satellite data from 2000 to 2020,combining with field survey data,the random forest classification method was used to obtain the spatial distribution information of tea area in Shihe District,Xinyang city of Henan province.Trend analysis,center of gravity migration and other methods were used to analyze the spatial distribution and temporal and spatial trends of tea production in Shihe District.The results showed that the combination of spectrum,vegetation index and texture feature had the highest classification accuracy of tea,with the overall accuracy of 89.02%and Kappa coefficient of 0.90.In terms of temporal changes,tea production in Shihe District from 2000 to 2020 generally showed a trend of rapid growth to steady rise.In terms of spatial change,the distribution of tea in Shihe District was relatively concentrated,mainly distributed in hilly areas and shallow mountainous areas in northern towns.From 2000 to 2020,the gravity center migration direction of tea area in Shihe District showed a trend from east to west.The total distance of gravity center migration was 5.47 km,and the migration speed was 0.273 5 km·a-1.This study provides scientific data support and theoretical basis for the scientific planting of tea in Shihe District.
teaareamulti-sourceremote sensingtemporal and spatial changes
国家科技期刊平台
NSTL
万方数据
