Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship
文献类型：期刊论文
| 作者 | Ni, Xiliang1; Cao, Chunxiang1; Zhou, Yuke2; Ding, Lin1; Choi, Sungho3; Shi, Yuli4; Park, Taejin3; Fu, Xiao5; Hu, Hong6; Wang, Xuejun7 |
| 刊名 | FORESTS
 |
| 出版日期 | 2017-08-01 |
| 卷号 | 8期号:8页码:13 |
| 关键词 | forest aboveground biomass root biomass tree heights GLAS artificial neural network allometric scaling and resource limitation |
| ISSN号 | 1999-4907 |
| DOI | 10.3390/f8080288 |
| 通讯作者 | Cao, Chunxiang(caocx@radi.ac.cn) |
| 英文摘要 | This study develops a modeling framework for utilizing the large footprint LiDAR waveform data from the Geoscience Laser Altimeter System (GLAS) onboard NASA's Ice, Cloud, and Land Elevation Satellite (ICESat), Moderate Resolution Imaging Spectro-Radiometer (MODIS) imagery, meteorological data, and forest measurements for monitoring stocks of total biomass (including aboveground biomass and root biomass). The forest tree height models were separately used according to the artificial neural network (ANN) and the allometric scaling and resource limitation (ASRL) tree height models which can both combine the climate data and satellite data to predict forest tree heights. Based on the allometric approach, the forest aboveground biomass model was developed from the field measured aboveground biomass data and the tree heights derived from two tree height models. Then, the root biomass should scale with the aboveground biomass. To investigate whether this approach is efficient for estimating forest total biomass, we used Northeast China as the object of study. Our results generally proved that the method proposed in this study could be meaningful for forest total biomass estimation (R-2 = 0.699, RMSE = 55.86). |
| WOS关键词 | RESOURCE LIMITATIONS MODEL ; REMOTE-SENSING DATA ; CONTINENTAL CHINA ; ICESAT/GLAS DATA ; NATIONAL FOREST ; CANOPY HEIGHT ; WOODY BIOMASS ; CARBON POOLS ; LIDAR ; VEGETATION |
| 资助项目 | Special Fund for Forest Scientific Research in the Public Welfare[201504323] ; National Key Research and Development Program of China[2016YFB0501505] ; Special Fund for the Ecological Assessment of Three Gorges Project[0001792015CB5005] ; National Natural Science Foundation[41601478] ; National Key R and D Program of China[2016YFC0500103] ; Key Programs of the Chinese Academy of Sciences[KZZD-EW-TZ-17] |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000408754100027 |
| 出版者 | MDPI AG |
| 资助机构 | Special Fund for Forest Scientific Research in the Public Welfare ; National Key Research and Development Program of China ; Special Fund for the Ecological Assessment of Three Gorges Project ; National Natural Science Foundation ; National Key R and D Program of China ; Key Programs of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61602]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cao, Chunxiang |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Boston Univ, Dept Earth & Environm, 675 Commonwealth Ave, Boston, MA 02215 USA 4.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing, Nanjing 210044, Jiangsu, Peoples R China 5.Beijing Union Univ, Coll Appl Sci & Humanities, Beijing 100083, Peoples R China 6.Haihe Basin Soil & Water Conservat Monitor Ctr, Tianjin 300171, Peoples R China 7.State Forest Adm China, Survey Planning & Design Inst, Beijing 100714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ni, Xiliang,Cao, Chunxiang,Zhou, Yuke,et al. Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship[J]. FORESTS,2017,8(8):13. |
| APA | Ni, Xiliang.,Cao, Chunxiang.,Zhou, Yuke.,Ding, Lin.,Choi, Sungho.,...&Wang, Xuejun.(2017).Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship.FORESTS,8(8),13. |
| MLA | Ni, Xiliang,et al."Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship".FORESTS 8.8(2017):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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