DocumentCode
1892750
Title
Monitoring model of aboveground biomass in Gannan grassland based on remote sensing
Author
Wang, Jing ; Guo, Ni ; Cai, Dihua ; Han, Hui ; Liang, Yun
Author_Institution
Key Lab. of Arid Climatic Change & Reducing Disaster of Gansu Province, Lanzhou Inst. of Arid Meteorol., Lanzhou, China
fYear
2011
fDate
24-29 July 2011
Firstpage
2749
Lastpage
2752
Abstract
In this paper, using 16 days 250m MODIS vegetation index dataset, the relationship between eight vegetation indexes (Vis) and aboveground biomass in Gannan grassland of China, was analyzed. Based on their correlations, monitoring models of aboveground biomass was constructed, and then the aboveground biomass of the whole Gannan Autonomous Region and its every county were estimated. The results showed that in most growth period, there are very significant relativity between vegetation indexes and aboveground biomass, which is the most obvious with synchronous EVI(r=0.782). And the cubic polynomial model of EVI fits aboveground biomass better than other vegetation indexes and functions. Based on above formula, aboveground biomass of Gannan grassland in 2007 and 2008 are separately 5610kg/hm2 and 5605kg/hm2. As to every county, comparing with that in 2007, aboveground biomass of 2008 in Lintan, Zhuoni and Diebu County increased, while in Hezuo, Maqu, Luqu, Xiahe and Zhouqu County it decreased.
Keywords
radiometers; renewable energy sources; vegetation; vegetation mapping; AD 2007; AD 2008; China; Diebu; Gannan Autonomous Region; Gannan grassland; Hezuo; Lintan; Luqu; MODIS vegetation index dataset; Maqu; Xiahe; Zhouqu; Zhuoni; aboveground biomass; cubic polynomial model; growth period; monitoring model; remote sensing; Biological system modeling; Biomass; Indexes; MODIS; Monitoring; Polynomials; Vegetation; Gannan grassland; aboveground biomass; model; remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location
Vancouver, BC
ISSN
2153-6996
Print_ISBN
978-1-4577-1003-2
Type
conf
DOI
10.1109/IGARSS.2011.6049783
Filename
6049783
Link To Document