摘要
提高我国南方山地森林蓄积量遥感估算精度的关键在于准确理解森林反射光谱的内涵。本文对南方山地森林反射光谱进行了分析，利用“条件均化”准则，提高了同类地物亮度的一致性；利用ＤＴＭ，进行地形辐射校正，以消除地形辐照度差异。在此基础上，本文利用Ｋ－Ｔ变换提取了林分光谱特征和林分环境特征，建立了森林光谱信息与环境信息间的关系，构造了具有一定物理意义的蓄积量遥感估算模型。经试验，结果较为理想。对主要林分类型，其估算精度达到９０％，因而可用于南方山地。
The key for increase estimate Precision of stand volume is to understand well the interior of forestry reflective spectrum. In this paper, forestry spectrum information is analysed. 'condition average criterion' is used to increase consistency; DTM is need to correct irradiation difference for different topography. The K--T transformation is applied to extract characteristics of forest and its envircnment. Remotely sensed estimate model of stand volume is developed and it is demonstrated satisfactorily by the experiments.The average estimate precision of stand volume is 90% for the primary stand classes. It can be applied to estimate the stand volume at south--china mountain.
出处
《国土资源遥感》
CSCD
1993年第2期39-47,共9页
Remote Sensing for Land & Resources
