DocumentCode
142706
Title
The spatial distribution of forest biomass in China using remote sensing and national forest inventory
Author
Ling Du ; Tao Zhou ; Xiang Zhao ; Hao Wu ; Donghai Wu
Author_Institution
State Key Lab. of Earth Surface Processes & Resource Ecology, Beijing Normal Univ., Beijing, China
fYear
2014
fDate
13-18 July 2014
Firstpage
737
Lastpage
740
Abstract
The objective of this study is to retrieve a spatially-explicit map of forest biomass, which is not only an important parameter to evaluate carbon storage but also a necessary initial value for process-based carbon cycle models to simulate carbon dynamics within a region. In this study, we used the latest eighth national forest inventory statistics (2009-2013) and the MODIS Land Cover Type product (MCD12C1) to estimate current spatial distribution of forest biomass in China at 0.05° resolution using a straight-forward downscaling method. The results showed that the total stock of forest biomass in China has increased remarkably to 13.1Pg. The forest biomass in China has a clear spatial pattern, with the highest biomass values occurring in the Da Hinggan, Xiao Xing´an and Changbai mountains of the northeast, and the Hengduan mountains of the southwest. The relatively high values were widely distributed in mountain areas in Sichuan and Yunan provinces of the southwest, and Fujian province of the southeast.
Keywords
carbon capture and storage; remote sensing; vegetation; AD 2009 to 2013; Changbai mountain; China; Da Hinggan mountain; Fujian province; MODIS Land Cover Type product; Sichuan province; Xiao Xing´an mountain; Yunan province; carbon dynamics; carbon storage; forest biomass spatial distribution; national forest inventory statistics; process-based carbon cycle models; remote sensing; spatially-explicit map; straight-forward downscaling method; Biomass; Carbon; Distribution functions; Educational institutions; Graphical models; MODIS; Remote sensing; Biomass; forest inventory; remote sensing; spatial distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946529
Filename
6946529
Link To Document