摘要
总结不同空间尺度森林叶面积指数(LAI)的估算方法,并讨论这些估算方法的优缺点与发展趋势:通过地面实测来估算小尺度的森林LAI,包括破坏性采样法、落叶收集法、异速生长方程法、光学仪器法和倾斜点嵌块法;通过遥感反演估算区域乃至全球尺度的森林LAI,包括统计模型法、基于冠层物理特征与反射特性的冠层反射模型法、人工神经网络技术及查表法。
This paper mainly reviewed the methods for estimating forest leaf area index （LAI） in different space scales, their advantage and disadvantage as well as their development trends are also discussed in this paper. The forest LAI in a small scale can be achieved by measuring it in situ for which there are five ground-based methods including destructive harvesting method, leaf litter collection, allometric equation, optical measurements and inclined point quadrat. On a regional or global scale, the forest LAI can be estimated by remote sensing. These methods involved in the statistical modeling technique, canopy reflectance models which base on modeling the relationships between canopy characteristics and reflectance, artificial neural network model, and look-up table.
出处
《林业科学》
EI
CAS
CSCD
北大核心
2009年第6期139-144,共6页
Scientia Silvae Sinicae
基金
国家自然科学基金重大项目(30590383)
十一五科技支撑项目(2006BAD03A04、2006BAD03A16)
国家自然科学基金重大研究计划(90211006)项目资助
关键词
叶面积指数
尺度
地面实测
遥感反演
地面验证
leaf area index
scale
ground measurements
remote sensing inversion
ground-validate
