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
Link To Document :
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