基于Sentinel-2遥感影像的烟草种植信息精准提取  

Object-oriented Accurate Extraction of Tobacco Information Based on Sentinel-2 Remote Sensing Images

作　　者：薛宇飞 张军[1] 张萍[1] 李宇宸 XUE Yufei;ZHANG Jun;ZHANG Ping;LI Yuchen(College of Earth Sciences of Yunnan University,Kunming 650500,China)

机构地区：[1]云南大学地球科学学院,昆明650500

出　　处：《中国烟草科学》2022年第1期96-106,共11页Chinese Tobacco Science

基　　金：云南大学研究生创新人才培养项目(C176230200);双一流-云南大学一流大学建设项目-地理学学科建设项目(C176210215)。

摘　　要：为探索快速、实时、精准和更具成本效益的烟草面积和产量监测方法,选取云南省德宏傣族景颇族自治州芒市为研究区域,采用Sentinel-2多光谱数据为数据源,对2020年3月份云南省德宏州芒市烟草、林地、水体等地物光谱特征和植被指数、红边指数进行了分析,应用面向对象的方法精准提取烤烟种植区域信息,提取的烟草面积为3873.34 hm^(2)。精度评价结果表明,提取的总体精度达到94.38%,Kappa系数为0.93,可满足烟叶生产管理的实际需求。认为以Sentinel-2多光谱影像为数据源结合面向对象的方法可以有效实现烟草种植信息的精准提取,进而为县域范围内烟草生产管理提供数据支撑。In order to explore a fast,real-time,accurate and more cost-effective monitoring method for tobacco area and yield,Mang City,Dehong Dai Jingpo Autonomous Prefecture,Yunnan Province was selected as the study area,and Sentinel-2 multispectral data was used as the data source to analyze the spectral characteristics and vegetation index and red edge index of tobacco,woodland,water bodies and other features in Mangshi,Dehong Dai Jingpo Autonomous Prefecture,Yunnan Province,in March 2020.The objectoriented method was applied to accurately extract information on flue-cured tobacco planting area,and the extracted tobacco area was 3873.34 ha.The accuracy evaluation results showed that the overall accuracy of extraction reached 94.38%,and the Kappa coefficient was 0.93,which could meet the actual needs of tobacco production management.It is concluded that the combination of Sentinel-2 multispectral images as the data source and the object-oriented approach can effectively realize the accurate extraction of tobacco planting information,and then provide data support for tobacco production management within the county.

关 键 词：烟草 Sentinel-2 面向对象分类 随机森林分类 精准提取 

分 类 号：S572[农业科学—烟草工业] S127[农业科学—作物学]