期刊论文详细信息
Forests
Mapping Forest Biomass Using Remote Sensing and National Forest Inventory in China
Ling Du2  Tao Zhou2  Zhenhua Zou3  Xiang Zhao1  Kaicheng Huang2 
[1] College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China; E-Mail:;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; E-Mails:;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing 100875, China; E-Mail:
关键词: biomass;    forest inventory;    remote sensing;    forest cover proportion;    spatial distribution;   
DOI  :  10.3390/f5061267
来源: mdpi
PDF
【 摘 要 】

Quantifying the spatial pattern of large-scale forest biomass can provide a general picture of the carbon stocks within a region and is of great scientific and political importance. The combination of the advantages of remote sensing data and field survey data can reduce uncertainty as well as demonstrate the spatial distribution of forest biomass. In this study, the seventh national forest inventory statistics (for the period 2004–2008) and the spatially explicit MODIS Land Cover Type product (MCD12C1) were used together to quantitatively estimate the spatially-explicit distribution of forest biomass in China (with a resolution of 0.05°, ~5600 m). Our study demonstrated that the calibrated forest cover proportion maps allow proportionate downscaling of regional forest biomass statistics to forest cover pixels to produce a relatively fine-resolution biomass map. The total stock of forest biomass in China was 11.9 Pg with an average of 76.3 Mg ha−1 during the study period; the high values were located in mountain ranges in northeast, southwest and southeast China and were strongly correlated with forest age and forest density.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

【 预 览 】
附件列表
Files Size Format View
RO202003190025017ZK.pdf 2067KB PDF download
  文献评价指标  
  下载次数:8次 浏览次数:8次