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- W2367509532 abstract "A study of remote sensing estimation of aboveground forest carbon storage was conducted in Yanqing county of Beijing by using the remote sensing and geo-science data,and the relationship between remote sensing and geosciences information and the ground forest carbon storage was analyzed,investigate forest carbon storage estimation method based on remote sensing and geosciences information.By using forest resource inventory data and SPOT5 images taken in 2004,and selecting 9 factors,which included 4 multi-spectral bands of B1,B2,B3,B4,3 vegetation indexes of IDVI,IRVI,INDVI,and slope and elevation,firstly the dimension reduction of the 9 factors were executed,then the principal components were extracted out,and finally a forest carbon storage model based on the analysis and the SPOT5 images was set up by regression method.The results show that the multiple correlation coefficient R2 was 0.892;the reliability and accuracy of the model were examined with 30 independent samples,the correlation coefficient was 0.769,the accuracy reached 91.60%。The model can be used to estimate forest carbon stocks in aboveground.Under the same conditions,principal component regression is superior to stepwise regression estimation." @default.
- W2367509532 created "2016-06-24" @default.
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- W2367509532 date "2012-01-01" @default.
- W2367509532 modified "2023-09-27" @default.
- W2367509532 title "Forest carbon storage estimation based on PCA and SPOT-5" @default.
- W2367509532 hasPublicationYear "2012" @default.
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