用遥感及实测回归估计森林蓄积量

The Method for Estimating Forest Volume by Remote Sensing and Regression of Practical Measurement

为了研究探讨新的森调技术方法，利用双重回归抽样技术，对全覆盖小比例尺和带状摄影大比例尺航片分别进行林分的连续和数量化判读量测，通过结合少量实测样地，进行蓄积量的多重回归相关分析，在二类森林资源调查中实现了对森林蓄积量的有效估计。在保证调查精度为８５％、可靠性９５％的前提下，使估计蓄积量落实到小班，克服了以往技术方法存在的缺点，并可取代大量繁重的外业调查。

This study is aimed at developing a new method for estimating forest volume. With double-regression sampling technique, the countinue and quantitative measurements by the aerial-photograph-reading, with overall coverage of small scall and belt-photo of large scale, for stand were conducted. Combined with a small amount of practical measurement, the multiple regression analysis for forest volume was made. Finally, the effective estimation of forest volume in second-class forest resource inventory was completed. It can specified to a specific small area as stand block by this estimation method of forest volume, with the precision above 85% and reliability 95%. Comparing with other forest volume inventory method, this method can also save the cost of survey as it does'nt need large and heavey field investigation.