基于星载雷达全波形数据估测森林结构参数研究综述

随着遥感技术的迅速发展，基于星载雷达全波形数据来估测森林结构参数已成为一项突破性的技术。星载雷达对植被空间结构和地形探测能力很强，能准确估测出森林结构参数，为进一步研究森林碳储量和碳循环提供可靠的基础数据，因此在林业中得到广泛应用。文中介绍了星载雷达系统ICESat-GLAS及其组成和工作原理，系统总结了利用星载雷达数据估测森林结构参数的研究现状，分析了星载雷达估测森林结构参数的局限性，并对其研究趋势进行了展望。

A Review of Research on Estimation of Forest Structure Parameters Based on Full Waveform Spaceborne LiDAR Data

As remote sensing technology develops quickly, estimating forest structure parameters based on spaceborne full-waveform LiDAR (Light Detection and Ranging) data has become a breakthrough technology. Due to its strong ability to investigate the spatial structure of vegetation and terrain, spaceborne LiDAR is able to accurately estimate forest structural parameters, which would provide reliable fundamental data for the further study of forest carbon storage and carbon cycle. Taking this into consideration, spaceborne LiDAR has been widely used in forestry sector. This paper introduced ICESat-GLAS, the spaceborne LiDAR system, its component and working principle as well, and systematically summarized the research progress of forest structural parameters by using spaceborne LiDAR data. This review also analyzed the limitations of using spaceborne LiDAR to estimate forest structural parameters and prospected its future.