自然资源遥感2025，Vol.37Issue(2)：265-273,9.DOI:10.6046/zrzyyg.2023345
基于GEE与多源遥感数据的黄河三角洲湿地植物群落分类
Classification of wetland plant communities in the Yellow River Delta based on GEE and multisource remote sensing data
摘要
Abstract
Accurately identifying plant communities in coastal wetlands is critical for strengthening the ecological quality monitoring and enhancing the ecosystem functions of coastal wetlands.With the Yellow River Delta as the study area,this study constructed a feature vector set including phenological,optical,red-edge,and radar features based on Sentinel-1/2 image data using the Google Earth Engine(GEE)platform.It classified the wetland plant communities in the Yellow River Delta in 2021 using the random forest algorithm.Moreover,it explored the effects of phenological features in classification.The results reveal an overall classification accuracy of 97.91％ and a Kappa coefficient of 0.97.In 2021,the distribution areas of Phragmites australis,Suaeda glauca,Spartina alterniflora,and Tamarix chinensis were 49.91 km2,39.91 km2,79.36 km2,and 20.86 km2,respectively.The phenological features of typical plant communities in the Yellow River Delta wetlands were effectively extracted based on the normalized difference vegetation index(NDVI)time-series fitting curves.The highly distinguishable features included the maximum value date,base value,growth amplitude,beginning-of-season growth rate,and end-of-season decline rate.Compared to other feature variables,phenological features contributed more significantly to the overall classification accuracy,suggesting their prominent role in classification.The results of this study provide a methodological reference and scientific basis for the plant community monitoring and ecological conservation of coastal wetlands in the Yellow River Delta.关键词
GEE/Sentinel-1/2影像/物候特征/湿地植物群落/黄河三角洲Key words
GEE/Sentinel-1/2 images/phenological features/wetland plant community/Yellow River Delta分类
信息技术与安全科学引用本文复制引用
张念秋,毛德华,冯凯东,甄佳宁,相恒星,任永星..基于GEE与多源遥感数据的黄河三角洲湿地植物群落分类[J].自然资源遥感,2025,37(2):265-273,9.基金项目
国家自然科学基金优秀青年科学基金项目"湿地景观格局与过程"(编号:42222103)资助. （编号:42222103）
