Estimation of the NorthSouth Transect of Eastern China forest biomass using remote sensing and forest inventory data
文献类型:SCI/SSCI论文
作者 | Gao Y. H. ; Liu X. X. ; Min C. C. ; He H. L. ; Yu G. R. ; Liu M. ; Zhu X. D. ; Wang Q. |
发表日期 | 2013 |
关键词 | adjusted vegetation index landsat tm data aboveground biomass satellite data surface africa boreal scale |
英文摘要 | The assessment of forest biomass is required for the estimation of carbon sinks and a myriad other ecological and environmental factors. In this article, we combined satellite data (Thematic Mapper (TM) and Moderate Resolution Imaging Spectrometer (MODIS)), forest inventory data, and meteorological data to estimate forest biomass across the NorthSouth Transect of Eastern China (NSTEC). We estimate that the total regional forest biomass was 2.306x10(9) Megagrams (Mg) in 2007, with a mean coniferous forest biomass density of 132.78Mgha(1) and a mean broadleaved forest biomass density of 142.32Mgha(1). The mean biomass density of the entire NSTEC was 129Mg ha(1). Furthermore, we analysed the spatial distribution pattern of the forest biomass and the distribution of biomass along the latitudinal and longitudinal gradients. The biomass was higher in the south and east and lower in the north and west of the transect. In the northern part of the NSTEC, the forest biomass was positively correlated with longitude. However, in the southern part of the transect, the forest biomass was negatively correlated with latitude but positively correlated with longitude. The biomass had an increasing trend with increases in precipitation and temperature. The results of the study can provide useful information for future studies, including quantifying the regional carbon budget. |
出处 | International Journal of Remote Sensing |
卷 | 34 |
期 | 15 |
页 | 5598-5610 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0143-1161 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/30547] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Gao Y. H.,Liu X. X.,Min C. C.,et al. Estimation of the NorthSouth Transect of Eastern China forest biomass using remote sensing and forest inventory data. 2013. |
入库方式: OAI收割
来源:地理科学与资源研究所
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