National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China
文献类型:期刊论文
作者 | Chi, Hong1; Sun, Guoqing1; Huang, Jinliang1; Guo, Zhifeng1; Ni, Wenjian1; Fu, Anmin1 |
刊名 | REMOTE SENSING
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出版日期 | 2015 |
卷号 | 7期号:5页码:5849-5878 |
通讯作者 | Chi, H (reprint author), Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430071, Peoples R China. |
英文摘要 | Forest aboveground biomass (AGB) was mapped throughout China using 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 and forest inventory data. The entire land of China was divided into seven zones according to the geographic characteristics of the forests. The forest AGB prediction models were separately developed for different forest types in each of the seven forest zones at GLAS footprint level from GLAS waveform parameters and biomass derived from height and diameter at breast height (DBH) field observation. Some waveform parameters used in the prediction models were able to reduce the effects of slope on biomass estimation. The models of GLAS-based biomass estimates were developed by using GLAS footprints with slopes less than 20 degrees and slopes >= 20 degrees, respectively. Then, all GLAS footprint biomass and MODIS data were used to establish Random Forest regression models for extrapolating footprint AGB to a nationwide scale. The total amount of estimated AGB in Chinese forests around 2006 was about 12,622 Mt vs. 12,617 Mt derived from the seventh national forest resource inventory data. Nearly half of all provinces showed a relative error (%) of less than 20%, and 80% of total provinces had relative errors less than 50%. |
研究领域[WOS] | Remote Sensing |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000357596200026 |
源URL | [http://ir.ceode.ac.cn/handle/183411/38437] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.[Chi, Hong 2.Huang, Jinliang] Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430071, Peoples R China 3.[Sun, Guoqing] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 4.[Guo, Zhifeng 5.Ni, Wenjian] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100732, Peoples R China 6.[Fu, Anmin] State Forestry Adm, Acad Forest Inventory & Planning, Beijing 100714, Peoples R China |
推荐引用方式 GB/T 7714 | Chi, Hong,Sun, Guoqing,Huang, Jinliang,et al. National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China[J]. REMOTE SENSING,2015,7(5):5849-5878. |
APA | Chi, Hong,Sun, Guoqing,Huang, Jinliang,Guo, Zhifeng,Ni, Wenjian,&Fu, Anmin.(2015).National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China.REMOTE SENSING,7(5),5849-5878. |
MLA | Chi, Hong,et al."National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China".REMOTE SENSING 7.5(2015):5849-5878. |
入库方式: OAI收割
来源:遥感与数字地球研究所
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