安徽农业科学2024，Vol.52Issue(22)：70-74,5.DOI:10.3969/j.issn.0517-6611.2024.22.013
基于哨兵2号数据的撂荒地识别与分析——以甘肃省麦积区为例
Identification and Analysis of Abandoned Land Based on Sentinel-2 Data—A Case Study of Maiji District,Gansu Province
摘要
Abstract
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.关键词
撂荒地/哨兵2号/面向对象图像分类/空间自相关Key words
Abandoned land/Sentinel-2/Object-oriented image classification/Spatial autocorrelation分类
农业科技引用本文复制引用
王瑞君,杨斌斌,吕志鹏..基于哨兵2号数据的撂荒地识别与分析——以甘肃省麦积区为例[J].安徽农业科学,2024,52(22):70-74,5.基金项目
甘肃省高等学校创新基金项目(2023A-250). （2023A-250）
