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中文摘要：
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。
英文摘要：
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.
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