基于TM影像数据的林分冠层郁闭度反演技术研究

本文以崂山林场为研究区域,利用森林资源二类调查数据和TM影像数据,分析了林分郁闭度与遥感因子之间的定量关系,在此基础上利用多元回归分析法结合实测数据构建郁闭度估测模型,并对模型精度进行检验,结果表明,预估精度达到81.6%,估测效果较好。利用该模型,反演了研究区的林分冠层郁闭度,将崂山林场的林分冠层郁闭度分为四个等级,即非林地区,低郁闭度区,中郁闭度区和高郁闭度区,研究区的森林郁闭度分布呈现西北部和东南部较低,而中部和南部相对较高。

Study on the inversion technology of forest canopy closure based on TM image data

Based on the national forest inventory data and TM images in Laoshan forest farm,the quantitative relations a mong forest canopy closure, remote sensing factors and topographical factors were analyzed. The models predicting for the crown density were constructed by using multiple regression analysis method combined with the measured data. And the inver sion model was tested. The results showed that the model accuracy reached 81.6%, and the effect of estimating was better. U sing this model, forest canopy density was predicted. The Laoshan forest farm forest canopy density was divided into four grades, namely non forest areas, low density areas, and high density area. The forest canopy density distribution showed which was low in the northwest and the southeast, while high in the central and southern relatively.