The Study On The Remote Sensing Estimation Of Forest Stock Volume

The forest stock volume is an important part of the forest resources investigation. The traditional survey of the forest resources is a kind of work which has a long cycle, needs heavy tasks and intensive labor and will need the massive funds. How to use 3S technology, combined with a small amount of ground-to information, to establish the estimated equation of the forest stock volume in the monitoring regions to estimate the forest stock volume, can minimize the work load of Ground field investigation. Nowadays, it has become a hot issue on forestry. This study mainly used remote sensing and GIS technology and took the TM remote sensing images, topographic maps and forest resources survey data as the basic data source, based on estimates of the least-squares regression analysis, to explore the process of remote sensing estimation of the forest stock volume and to establish an estimation model initially, furthermore, to evaluate the accuracy of the estimation model. The result showed that: the setting and the choice of the remote sensing and GIS factor are decided the effectiveness and accuracy of the estimating equation; the process of the atmospheric correction of the remote sensing image can not be overlooked or they will affect the accuracy of estimation model; when establish the estimating equation by using the based least-squares, they could pass the F-test of the equation and the T-examination of the regression coefficient. This showed that the estimating equation was effective, and has a certain applied value.