【摘要】 以GIS可提取的因子、图像处理后的TM全波段光谱值及其比值为自变量,通过数量化、逐步聚类、逐步回归等方法建立杉木林分蓄积量判读模型,并用不同时相的遥感数据及其同期外业调查数据进行对比、分析。结果表明:所建立的杉木林分蓄积量判读模型线性关系显著,估算结果与外业调查数据基本相符,无显著差异,估算精度达到广东省森林资源连续清查规程的要求。判读模型可应用于森林连续清查间隔期内广东省杉木林分蓄积量的估算。更多还原

【Abstract】 This research established an interpreting model of Chinese fir stand volume using Numerical, K-Means Cluster, Gradual Regression Methods with the elements as variates directly obtained from RS and GIS. The suitability and precision of the equation were tested with another date TM RS data and the field work data at the same period. Results show that the models for Chinese fir stand volume are reliable. There is no significant deviation between data actually measured and the data estimated by regression equation. Therefore, the regression equation can be used in the period between Guangdong CFI(continuous forest inventory).更多还原