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- W2356073313 abstract "The surveying of Chinese fir basal area by fielding 90 sample plots with angle gauges had been carried out in Huangfengqiao forest farm,the multiple linear regression estimation model of basal area was set up based on remote sensing and geographic information.First,each sample plot was buffered by GIS software to 1 hectare;Then from which 21 RS index factors such as spectral and texture information and 4 GIS index factors were extracted,in which 6 index factors were screened out as independent model variables through stepwise regression analysis;Last the multiple regression model was built by using OLS and PLS respectively.The results showed that: the model predicted accuracy was 82.2% and RMSE was 5.12 m2/hm2 by using OLS;the model predicted accuracy was 83.9% and RMSE was 4.21 m2/hm2 by using PLS;The adoption of OLS and PLS services well in basal area estimation,to estimate forest structural parameters can achieve good effects by using high resolution remote sensing images." @default.
- W2356073313 created "2016-06-24" @default.
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- W2356073313 date "2012-01-01" @default.
- W2356073313 modified "2023-09-23" @default.
- W2356073313 title "Study on Basal Area Estimation of Chinese Fir Based on SPOT5 Images" @default.
- W2356073313 hasPublicationYear "2012" @default.
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