Identification and Analysis of Abandoned Land Based on Sentinel-2 Data—A Case Study of Maiji District,Gansu Province
Taking Maiji District in Gansu Province as the research area,object-oriented method was used to identify abandoned land based on Sentinel-2 remote sensing satellite data,the overall classification accuracy reached 92%,and the Kappa coefficient was 0.82.The spatial statis-tical results showed that the abandoned land area in Maiji District was 12 600.31 hm2,accounting for 3.62%of the total area of Maiji District and 22.02%of the total cultivated land area.Slope analysis and traffic condition analysis found that terrain factors and traffic conditions were important reasons for abandonment.A spatial autocorrelation analysis of abandoned land in Maiji District revealed significant spatial clustering characteristics.
国家科技期刊平台
NSTL
万方数据
