Estimation of carbon storage based on individual tree detection in Pinus densiflora stands using a fusion of aerial photography and LiDAR data
Estimation of carbon storage based on individual tree detection in Pinus densiflora stands using a fusion of aerial photography and LiDAR data作者机构:Division of Environmental Science and Ecological EngineeringKorea University Forest Practice Research CenterKorea Forest Research Institute Departement of Forest ResourcesJinju National University
出 版 物:《Science China(Life Sciences)》 (中国科学(生命科学英文版))
年 卷 期:2010年第53卷第7期
页 面:885-897页
核心收录:
学科分类:08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:the support of the ‘Public Applications Research of Satellite Data Project’ (Grant No. FR09662). provided by the Korea Aerospace Research Institute supported by a research grant from the Korea Science and Engineering Foundation (KOSEF) (Grant No. A307-K001)
主 题:LiDAR aerial photograph region growing marker-control watershed segmentation carbon storage
摘 要:The objective of this study was to estimate the carbon storage capacity of Pinus densiflora stands using remotely sensed data by combining digital aerial photography with light detection and ranging(LiDAR) data.A digital canopy model(DCM),generated from the LiDAR data,was combined with aerial photography for segmenting crowns of individual *** eliminate errors in over and under-segmentation,the combined image was smoothed using a Gaussian filtering *** processed image was then segmented into individual trees using a marker-controlled watershed segmentation *** measuring the crown area from the segmented individual trees,the individual tree diameter at breast height(DBH) was estimated using a regression function developed from the relationship observed between the field-measured DBH and crown *** above ground biomass of individual trees could be calculated by an image-derived DBH using a regression function developed by the Korea Forest Research *** carbon storage,based on individual trees,was estimated by simple multiplication using the carbon conversion index(0.5),as suggested in guidelines from the Intergovernmental Panel on Climate *** mean carbon storage per individual tree was estimated and then compared with the field-measured *** study suggested that the biomass and carbon storage in a large forest area can be effectively estimated using aerial photographs and LiDAR data.