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題名 Using LiDAR to Assist in Calculating Carbon Sinks in Plain Afforestation Areas
作者 黃睿恩;邱式鴻
Huang, Rui-En;Chio, Shih-Hong
貢獻者 地政系
關鍵詞 plain afforestation; carbon sink; UAV-LiDAR; handheld Lidar; allometric volume equation
日期 2026-05
上傳時間 7-May-2026 16:21:23 (UTC+8)
摘要 The purpose of this study was to address the inaccuracy of carbon sink calculations in plain afforestation areas caused by diverse tree species and management differences. Traditional forest carbon sink estimation relies on manual surveys, which are time-consuming, labor-intensive, and make it difficult to quickly obtain large-scale three-dimensional information. Therefore, this study proposed an innovative mapping workflow integrating unmanned aerial vehicle light detection and ranging (UAV-LiDAR) and handheld Lidar. UAV-LiDAR was utilized to obtain detailed top canopy information, and was combined with handheld Lidar to fill in the vertical structure of trunks and understory trees, constructing a complete, high-density 3D point cloud of the plain afforestation area. Refined tree models were established manually to serve as the true volume values. Meanwhile, three different volume estimation equations were fitted and compared: Schumacher and Hall’s (1933) logarithmic model, Spurr’s (1952) combined variable model, and a modified Spurr’s combined variable model incorporating allometric growth concepts. Subsequently, the biomass and carbon sinks of the plain afforestation areas were accurately estimated based on the Intergovernmental Panel on Climate Change (IPCC) parameters.
關聯 International Symposium on Remote Sensing 2026, Remote Sensing Society of Japan (RSSJ)
資料類型 conference
dc.contributor 地政系
dc.creator (作者) 黃睿恩;邱式鴻
dc.creator (作者) Huang, Rui-En;Chio, Shih-Hong
dc.date (日期) 2026-05
dc.date.accessioned 7-May-2026 16:21:23 (UTC+8)-
dc.date.available 7-May-2026 16:21:23 (UTC+8)-
dc.date.issued (上傳時間) 7-May-2026 16:21:23 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=182379-
dc.description.abstract (摘要) The purpose of this study was to address the inaccuracy of carbon sink calculations in plain afforestation areas caused by diverse tree species and management differences. Traditional forest carbon sink estimation relies on manual surveys, which are time-consuming, labor-intensive, and make it difficult to quickly obtain large-scale three-dimensional information. Therefore, this study proposed an innovative mapping workflow integrating unmanned aerial vehicle light detection and ranging (UAV-LiDAR) and handheld Lidar. UAV-LiDAR was utilized to obtain detailed top canopy information, and was combined with handheld Lidar to fill in the vertical structure of trunks and understory trees, constructing a complete, high-density 3D point cloud of the plain afforestation area. Refined tree models were established manually to serve as the true volume values. Meanwhile, three different volume estimation equations were fitted and compared: Schumacher and Hall’s (1933) logarithmic model, Spurr’s (1952) combined variable model, and a modified Spurr’s combined variable model incorporating allometric growth concepts. Subsequently, the biomass and carbon sinks of the plain afforestation areas were accurately estimated based on the Intergovernmental Panel on Climate Change (IPCC) parameters.
dc.format.extent 51961 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) International Symposium on Remote Sensing 2026, Remote Sensing Society of Japan (RSSJ)
dc.subject (關鍵詞) plain afforestation; carbon sink; UAV-LiDAR; handheld Lidar; allometric volume equation
dc.title (題名) Using LiDAR to Assist in Calculating Carbon Sinks in Plain Afforestation Areas
dc.type (資料類型) conference