Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery

编号 030021901

推送时间 20191230

研究领域 森林经理 

年份 2019 

类型 期刊 

语种 英语

标题 Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery

来源期刊 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

期 第219期

发表时间 20191019

关键词 Mangroves;  Aboveground biomass;  UAV-LiDAR;  Sentinel-2;  Random forest; 

摘要 The mangrove forests of northeast Hainan Island are the most species diverse forests in China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial Nature Reserve. The former reserve is the first Chinese national nature reserve for mangroves and the latter has the most abundant mangrove species in China. However, to date the aboveground ground biomass (AGB) of this mangrove region has not been quantified due to the high species diversity and the difficulty of extensive field sampling in mangrove habitat. Although three-dimensional point clouds can capture the forest vertical structure, their application to large areas is hindered by the logistics, costs and data volumes involved. To fill the gap and address this issue, this study proposed a novel upscaling method for mangrove AGB estimation using field plots, UAV-LiDAR strip data and Sentinel-2 imagery (named G similar to LiDAR similar to S2 model) based on a point-line-polygon framework. In this model, the partial-coverage UAV-LiDAR data were used as a linear bridge to link ground measurements to the wall-to-wall coverage Sentinel-2 data. The results showed that northeast Hainan Island has a total mangrove AGB of 312,806.29 Mg with a mean AGB of 119.26 Mg ha(-1). The results also indicated that at the regional scale, the proposed UAV-LiDAR linear bridge method (i.e., G similar to LiDAR similar to S2 model) performed better than the traditional approach, which directly relates field plots to Sentinel-2 data (named the G similar to S2 model) (R-2 = 0.62 > 0.52, RMSE = 50.36 Mg ha(-1) < 56.63 Mg ha(-1)). Through a trend extrapolation method, this study inferred that the G similar to LiDAR similar to S2 model could decrease the number of field samples required by approximately 37% in comparison with those required by the G similar to 52 model in the study area. Regarding the UAV-LiDAR sampling intensity, compared with the original number of LiDAR plots, 20% of original linear bridges could produce an acceptable accuracy (R-2 = 0.62, RMSE = 51.03 Mg ha(-1)). Consequently, this study presents the first investigation of AGE for the mangrove forests on northeast Hainan Island in China and verifies the feasibility of using this mangrove AGB upscaling method for diverse mangrove forests.

服务人员 付贺龙

PDF文件 浏览全文