【作者】 马俊红；

【导师】 张永福；

【作者基本信息】 新疆大学 ， 地图学与地理信息系统， 2008， 硕士

【副题名】以新疆米泉林场为例

【摘要】 森林蓄积量是林业资源调查的重要内容之一,传统的森林资源调查是一项周期长、任务重、劳动强度大,需大量经费的工作。如何利用3S技术,结合少量地面样地资料,建立监测区域的森林蓄积量估测方程,估测森林蓄积量,能够最大限度的减少地面野外调查工作量,已成为目前林业上的热点问题。本文主要采用遥感与GIS技术,以TM遥感图像、地形图、森林资源调查资料为基本数据源,采用基于最小二乘估计的回归分析,探讨了森林蓄积量遥感估测的过程,初步建立了估测模型,并对估测模型予以精度评价。结果表明:遥感和GIS因子的设置和选择决定着估测方程的有效性和精度;遥感图像大气校正的过程不可忽略,否则将影响估测模型的精度;采用基于最小二乘估计建立的估测模型能通过方程的F检验和回归系数的T检验,说明估测方程有效,有一定的应用价值。更多还原

【Abstract】 The forest stock volume is an important part of the forest resources investigation. The traditional survey of the forest resources is a kind of work which has a long cycle, needs heavy tasks and intensive labor and will need the massive funds. How to use 3S technology, combined with a small amount of ground-to information, to establish the estimated equation of the forest stock volume in the monitoring regions to estimate the forest stock volume, can minimize the work load of Ground field investigation. Nowadays, it has become a hot issue on forestry. This study mainly used remote sensing and GIS technology and took the TM remote sensing images, topographic maps and forest resources survey data as the basic data source, based on estimates of the least-squares regression analysis, to explore the process of remote sensing estimation of the forest stock volume and to establish an estimation model initially, furthermore, to evaluate the accuracy of the estimation model. The result showed that: the setting and the choice of the remote sensing and GIS factor are decided the effectiveness and accuracy of the estimating equation; the process of the atmospheric correction of the remote sensing image can not be overlooked or they will affect the accuracy of estimation model; when establish the estimating equation by using the based least-squares, they could pass the F-test of the equation and the T-examination of the regression coefficient. This showed that the estimating equation was effective, and has a certain applied value.更多还原