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Remote Sensing Technology and Application  2010, Vol. 25 Issue (5): 639-646    DOI: 10.11873/j.issn.1004-0323.2010.5.639
article     
Estimation of Vegetation Biomass Using SPOT5 SatelliteImages in Fengning County,Hebei Province
WANG Hong-yan,GAO Zhi-hai,WANG Feng-yu,LI Shi-ming,BAI Li-na
(Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China)
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Abstract  


The techniques for estimation of aboveground biomass were studied in Fengning Man Autonomous County,Hebei Province,using SPOT5 images and filed sample measurement data based on the estimate method by vegetation types.The study results shown that  a multiple regression model,which was composed of 4 band spectral reflectance of SPOT5 images and Mid\|infrared Vegetation Index (VI3) derived from SPOT5 images,can be used for estimating forest biomass,the coefficient of determination (R2) reached 0.540.Through the correlation analysis of bush and grassland biomasses with various vegetation indices,it was found that the exponential model based on Ratio Vegetation Index (RVI) was the optimal model for estimating bush biomass,and the NDVI\|based simple linear model was the optimal model for estimating grassland biomass,with R2 values of 0.711 and 0.790.The distribution map of biomass in Fengning county was made using SPOT5 images acquired in 2008.The map reflect that the total aboveground biomass (except the croplands) in 2008 in Fengning is 3.706×107 t,with a average of 51.223 t/hm2,in which,the total forest biomass is 3.578×107 t,the total bush biomass is 1.048×106 t,and the total grassland biomass is 2.277×105 t.

Key words:  Vegetation biomass      SPOT5 image      Vegetation Index(VI)      Fengning county     
Received:  25 May 2010      Published:  30 October 2013
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WANG Hong-Yan
GAO Zhi-Hai
WANG Beng-Yu
LI Shi-Ming
BAI Li-Na

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WANG Hong-yan,GAO Zhi-hai,WANG Feng-yu,LI Shi-ming,BAI Li-na. Estimation of Vegetation Biomass Using SPOT5 SatelliteImages in Fengning County,Hebei Province. Remote Sensing Technology and Application, 2010, 25(5): 639-646.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.5.639     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I5/639

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