Mapping Height and Aboveground Biomass of Mangrove Forests on Hainan Island Using UAV-LiDAR Sampling

编号 030021301

推送时间 20191118

研究领域 森林经理 

年份 2019 

类型 期刊 

语种 英语

标题 Mapping Height and Aboveground Biomass of Mangrove Forests on Hainan Island Using UAV-LiDAR Sampling

来源期刊 REMOTE SENSING

期 第213期

发表时间 20190916

关键词 mangroves;  Hainan island;  aboveground biomass;  UAV-LiDAR sampling;  Sentinel-2;  random forest;  feature importance; 

摘要 Hainan Island is the second-largest island in China and has the most species-diverse mangrove forests in the country. To date, the height and aboveground ground biomass (AGB) of the mangrove forests on Hainan Island are unknown, partly as a result of the challenges faced during extensive field sampling in mangrove habitats (intertidal mudflats inundated by periodic seawater). Therefore, this study used a low-cost UAV-LiDAR (light detection and ranging sensor mounted on an unmanned aerial vehicle) system as a sampling tool and Sentinel-2 imagery as auxiliary data to estimate and map the mangrove height and AGB on Hainan Island. Hainan Island has 3697.02 hectares of mangrove forests with an average patch area of approximately 1 ha. The results show that the mangroves on whole Hainan Island have an average height of 6.99 m, a total AGB of 474,199.31 Mg and an AGB density of 128.27 Mg ha(-1). The AGB hot spots are located in Qinglan Harbor and the south of Dongzhai Harbor. The proposed height model LiDAR-S2 performed well with an R-2 of 0.67 and an RMSE (root mean square error) of 1.90 m; the proposed AGB model G similar to LiDAR similar to S2 performed better (an R-2 of 0.62 and an RMSE of 50.36 Mg ha(-1)) than the traditional AGB model G similar to S2 that directly related ground plots and Sentinel-2 data. The results also indicate that the LiDAR metrics describing the canopy's thickness and its top and bottom characteristics are the most important variables for mangrove AGB estimation. For the Sentinel-2 indices, the red-edge and shortwave infrared features, especially the red-edge 1 and shortwave infrared Band 11 features, play the most important roles in estimating mangrove AGB and height. In conclusion, this paper presents the first mangrove height and AGB maps of Hainan Island and demonstrates the feasibility of using UAV-LiDAR as a sampling tool for mangrove forests.

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