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
王瑞君 1杨斌斌 1吕志鹏1
作者信息
- 1. 甘肃林业职业技术学院,甘肃天水 741020
- 折叠
摘要
以甘肃省麦积区为研究区域,采用哨兵2号遥感卫星数据,并基于面向对象的方法对该区域的撂荒地进行了识别,分类总体精度达到92%,Kappa系数为0.82.空间统计结果显示,麦积区的撂荒地面积为 12 600.31 hm2,占麦积区总面积的 3.62%,占耕地总面积的22.02%.坡度分析和交通条件分析发现,地形因素和交通条件是导致撂荒的重要原因.对麦积区的撂荒地进行空间自相关分析发现,撂荒地存在显著的空间集聚特征.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据