Abstract
Remote sensing opens a new method for obtaining forest canopy density. The forest resource field inventory data and simultaneous LANDSAT TM data were used to discover the model of estimating forest canopy density based on remote sensing here in Shimian county, Sichuan province, P.R.of China. A lot of derivative data were created from LANDSAT TM data. 1204 forest sub-compartments with inner homogeneity were used as samples for correlation analysis. According to the correlation analysis, TM7, P3, MVI3 and TM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">7/2</sub> value of 804 forest sub-compartment samples were used to formulate the model of estimating the forest canopy density by using stepwise regression analysis. The accuracy of the model was 68.69%. which was gotten by using 400 sub-compartment samples.
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