星载激光雷达波形长度提取与林业应用潜力分析

森林是重要的环境资源,作为陆地生态系统的主体,森林是陆地上面积最大、分布最广、组成结构最复杂、物质资源最丰富的生态系统.我国虽然是一个森林资源相对较少的国家,森林生物量依然是陆地植被总生物量的主要组成部分.鉴于森林的重要性,世界各国都投入很大的力量对森林资源进行保护,每隔一定年限对其进行调查和监测.

Waveform Length Extraction from ICEsat GLAS Data and Forest Application Analysis

Lidar (light detection and ranging) remote sensing is a breakthrough of active remote sensing technology in recent years. It has shown enormous potential for forest parameters retrieval. Lidar remote sensing has the unique advantage of providing horizontal and vertical information at high accuracies. Especially it can be used to measure forest height directly with unprecedented accuracy. Large footprint lidar has demonstrated its great potential for accurate estimation of many forest parameters. The geoscience laser altimeter system (GLAS) instrument aboard the ice, cloud and land elevation satellite (ICEsat) has acquired a large amount of data including topography and vegetation height information. Although GLAS' primary mission is the topographic mapping of the ice sheets of greenland and antarctica, it has potential use over land, especially for vegetation height extraction. These data provide an unprecedented vegetation height data set over large area. After a general discussion of GLAS waveform pre_processing, the waveform length extraction method has been developed. Then the waveform length from GLAS Laser 2a data in the northeast China was calculated. The waveform length map was analyzed together with land cover map from Landsat ETM+. The waveform length shows good accordant with land cover types from Landsat ETM+ data. As for forest area, the waveform length map contains much more information about forest height information, which can be used to inverse other forest parameters quantitatively together with other remote sensing data.