摘要
基于Landsat 8的OLI影像对徐州市2013—2017年植被数据进行植被提取。通过OLI影像对K-L变换、归一化植被指数NDVI及原始波段的相关系数进行计算,从而选取3种最优波段进行组合,利用SVM监督分类对5年城市数据进行植被提取。结果表明,原生波段与衍生波段的合成影像有效提高了植被提取精度,同时数据分析也显示出徐州市辖区内存在植被面积较小、植被空间分布不均等问题,并提出徐州市植被规划的合理建议。
Urban vegetation in Xuzhou City from 2013 to 2017 was extracted by analyzing Landsat 8 OLI images.The correlation coefficients of the first component of K-L transformation,the normalized difference vegetation index and the original bands were calculated,and three optimum bands were selected as a combination,then the urban vegetation extraction was carried out from 5-year urban data by SVM classification.The results showed that the combine image with original band and derivative band could effectively improve the precision of vegetation extraction.At the same time,data analysis showed that there were some problems such as small vegetation area and unequal distribution of vegetation in Xuzhou area,some reasonable suggestions were put forward for urban vegetation planning.
作者
李晨
潘悦
LI Chen;PAN Yue(School of Environment and Surveying,China University of Mining and Technology,Xuzhou Jiangsu 221116)
出处
《现代农业科技》
2018年第15期218-220,共3页
Modern Agricultural Science and Technology
