K-T变换的林学意义及其在森林蓄积量估算中的应用

K-T TRANSFORMATION'S FORESTRY SIGNIFICANCE AND APPLICATION OF IT TO REMOTELY SENSED ESTIMATE OF STAND VOLUME

本文讨论了K-T变换在林学方面的意义,它可以用于森林信息分析。就K-T的特征空间而言,其林学意义是很明确的,森林具有较高的绿度、湿度和较低的亮度,它们在光谱空间具有相对稳定的位置,利用这一特殊性质,即可用反射光谱描述森林的林学意义及其环境特征。 本文还用K-T变换特性构造了浙江省临安县森林蓄积量的遥感估算模型,它在结构上考虑了林学和环境特征,从而使模型具有一定的物理含义。模型经试验,其结果较为理想,对主要立地类型、其平均森林蓄积量估算精度达到90％左右,可以用于我国南方山区。

K-T transformation's forestry significance is discussed in this paper. The idea of the transformation can be applied to the forestry analysis. On the K-T feature space, the forestry significance is obvious and the forest is of higher greeness, wettness and lower brightness. And it occupies relative fixed place. By this specific property, forest and its environment characteristic can be described with their reflective spectrum.In this paper, remotely semsed estimate model of stand volume is developed with K-T transformation's features in Linan county, Zhcjiang province. It includes forest and environment characteristic, and is of physical meaning. The model is demonstrated satisfactorily by the experiments. The average estimate precise of stand volume is 90% for the primary stand classes, It can be applied to the South-China mountain.