DocumentCode
2841489
Title
Estimation of Above-Ground Biomass Using HJ-1 Hyperspectral Images in Hangzhou Bay, China
Author
Zhang, Hao ; Hu, Hao ; Yao, Xu-guo ; Zheng, Ke-feng ; Gan, Yi
Author_Institution
Center for Digital Agric. Res., Zhejiang Acad. of Agric. Sci., Hangzhou, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
This study demonstrates the potentials of HJ-1 hyperspectral sensor (110-128 bands)-based estimation of aboveground biomass in Hangzhou Bay Zhejiang Province, China. We coupled AGB values, calculated from field measurements of vegetation, with six different vegetation indices derived from HJ1 data through regression analyses to produce an initial biomass map. The results showed that above-ground biomass was strongly related to the soil adjusted vegetation index (SAVE; R = 0.909, p < 0.01). The mean value of estimated above-ground biomass in the study area is 34 Mg /ha, which was also validated using independent field measurements (R = 0.63, p < 0.01). This AGB maps can be used as baseline information for future landscape level studies such as quantifying the salt-marsh vegetation and monitoring management practices.
Keywords
image processing; regression analysis; renewable materials; vegetation mapping; AGB values; China; HJ-1 hyperspectral images; HJ-1 hyperspectral sensor; Hangzhou Bay; above-ground biomass; landscape level studies; monitoring management; regression analyses; salt-marsh vegetation; soil adjusted vegetation index; vegetation indices; Biomass; Calibration; Educational institutions; Gallium nitride; Hyperspectral imaging; Hyperspectral sensors; Life estimation; Satellites; Soil measurements; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5364800
Filename
5364800
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