宋润娣Song Rundi;牟丽霞Mu Lixia;刘煜璇Liu Yuxuan;姜常梅*Jiang Changmei

（. 山东师范大学 地理与环境学院，山东 济南 250358；. 山东省科学技术情报研究院，山东 济南 250101）

(. College of Geography and Environment, Shandong Normal University, Jinan, Shandong China, 250358; .Shandong Institute of Scientific and Technical Information, Jinan, Shandong China, 250101)

摘要：为探究山东渤海滨海地区互花米草时空分布特征，本研究选用Landsat遥感影像，基于支持向量机（SVM）算法对山东渤海滨海地区互花米草开展动态监测。结果表明：（1）2010年、2015年和2019年山东渤海滨海地区互花米草分布面积分别为20.33km2、22.34km2和48.77km2；（2）互花米草主要分布于黄河三角洲地区、五号桩东部海岸、孤东油田东北角和小清河河口附近等，且在不同区域呈现不同的空间分布特征。

Abstract: In order to explore the spatiotemporal distribution characteristics of Spartina alterniflora in the coastal area of Shandong Bohai Sea, this study selected Landsat remote sensing images and conducted analysis based on support vector machine (SVM) algorithm. The results show that: (1) In 2010, 2015, and 2019, the distribution areas of Spartina alterniflora in the coastal areas of Shandong Bohai Sea were 20.33 km2, 22.34 km2, and 48.77 km2, respectively; (2) Spartina alterniflora is mainly distributed in Yellow River Delta, the eastern coast of pile 5, the northeast corner of Gudong Oilfield, and near the Xiaoqing River estuary, and presents different spatial distribution characteristics in different regions.

关键词：互花米草；动态监测；支持向量机（SVM）；渤海滨海地区；遥感

Key words: Spartina alterniflora; dynamic monitoring; Support Vector Machine (SVM); Coastal Area of Bohai Sea; Remote sensing