自然资源遥感2025，Vol.37Issue(2)：274-284,11.DOI:10.6046/zrzyyg.2023344
考虑极化与地形特征的GEE海南岛红树林树种精细化分类
GEE-based fine-scale classification of mangrove species in Hainan Island considering polarization and topographic features
摘要
Abstract
Based on multitemporal remote sensing(Sentinel-1/2)image data,the digital elevation model(DEM),and the Google Earth Engine(GEE)platform,this study achieved the large-scale dynamic monitoring of the ranges and interspecific distributions of mangrove forests in Hainan Island in 2016,2019,and 2022.The effects of Sentinel-1 polarization and DEM-derived topographic features were considered in distinguishing mangrove species.Compared to the species identification using only Sentinel-2 image data,the identification method incorporating polarization or topographic features improved the classification accuracy by 3.34 and 3.35 percentage points,respectively.Moreover,incorporating both polarization and topographic features into the identification process was more effective for the interspecific classification of mangrove forests,raising the classification accuracy by 4.07 percentage points and enabling more accurate extraction of different species information.The monitoring results indicate that the areas of mangrove forests in Hainan Island in 2016,2019,and 2022 were 3628.738 hm2,3634.129 hm2,and 3881.212 hm2,respectively,showing an overall increase at an average annual rate of 1.127％over six years.Regarding population dynamics,the dominant species included Ceriops tagal and Rhizophora stylosa in the northern mangrove forest in Dongzhai port,and Bruguiera sexangula in the southern portion.The northern estuary of Bamen Bay was dominated by Bruguiera sexangula,while the Wenjiao River mouth exhibited richer species.In the Xinying,and Huachang bays,and Maniao Port,the dominant mangrove species shifted from Ceriops tagal and Rhizophora stylosa to Kandelia obovata and Lumnitzera racemosa over six years,with Sonneratia apetala spreading at the bay mouths.In Xinying Port,the dominant mangrove species shifted from Rhizophora stylosa and Rhizophora stylosa to Lumnitzera racemose.The distribution of Kandelia obovata in Dongfang City expanded gradually,while the species composition in Sanya City remained almost stable,with the growth area occupied primarily by Ceriops tagal.Overall,the method used in this study enhances the identification accuracy of mangrove species,allowing a fine-scale analysis of the evolutionary process of mangrove species,thereby supporting the formulation of the mangrove forest protection policy.关键词
红树林/Google Earth Engine/红树林树种/海南岛Key words
mangrove forest/Google Earth Engine/mangrove species/Hainan Island分类
信息技术与安全科学引用本文复制引用
薛志泳,李尉尉,田震,朱明杰,朱建华..考虑极化与地形特征的GEE海南岛红树林树种精细化分类[J].自然资源遥感,2025,37(2):274-284,11.基金项目
海南省重点研发项目"南海珊瑚礁空天地海一体化监测关键技术研究与应用示范"(编号:ZDYF2023GXJS023)资助. （编号:ZDYF2023GXJS023）
