基于ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探——以云南香格里拉县为例

Primary Discussion on the Potential of Forest Volume Estimating Using ICESat-GLAS Data in Complex Terrain Area——A Case Study of Shangri-la,Yunnan Province

近年来ICESat-GLAS波形数据被广泛地应用于森林生态参数的估算。为了研究大光斑激光雷达数据在复杂地形区域估算森林蓄积量方面的能力,以云南省香格里拉县为研究区域,将GLA01数据处理后得到的平均树高与实测树高及坡度进行对比,探究了坡度对GLAS数据估算平均树高的影响,同时将其与平均树高、光斑范围内森林蓄积量建立关系,初步研究三者之间的关系。结果表明,坡度会降低大光斑激光雷达数据估算森林植被高度的精度,但GLAS数据估算出的树高与实测的平均树高、蓄积量数据仍有较好的相关性,这说明利用GLAS数据估算森林蓄积量有较大的潜力。

ICESat-GLAS waveform data have being used widely in estimation of ecological parameters of forest in recent years.In order to judge the potential of large footprint LiDAR data of ICESat-GLAS on estimating the forest volume in complex terrain,a case study of Shangri-la,Yunnan Province,comparison between the average canopy height retrieved from the GLA01 data and canopy height measured in the field and slope data,and the impact of slope on the canopy height estimation by GLAS data had been also explored.Meanwhile,the relationship among the slope,the average canopy height and the field measured volume in large footprint had been discussed.The results show that the slope can reduce the accuracy of the estimation of the canopy height by using large footprint LiDAR data.However,there is a good relationship among the average canopy height derived from the GLAS data,canopy height and volume measured in the field and slope.It indicates that the potential of forest volume estimation by using GLAS data is great.