基于激光雷达及外推模型的大范围森林地上生物量估算方法研究

为探讨区域尺度森林地上生物量的遥感估算方法，从与地上生物量联系最紧密的森林高度数据入手，提出基于激光雷达的森林三维结构参量到地上生物量的普适性转换算法，建立从光斑点到逐像元连续的森林冠层高度估算模型，构建分类别的森林地上生物量外推模型，从高分辨率机载激光雷达所覆盖的航飞区域，到中高分辨率常规光学数据所覆盖的典型样区，再到中低分辨率长时间序列数据可获取的大范围研究区，实现逐层次逐尺度的森林地上生物量估算，综合评价激光雷达与外推模型相结合的方法估算大范围森林地上生物量的精准度与适用性，为开展全国尺度的森林地上生物量监测提供技术支撑与研究示范。

This research focuses on regional scale forest aboveground biomass (AGB) estimation based on remote sensing models, which will provide technical foundation for national scale AGB estimation. A high resolution airborne LiDAR data will be collected for building the AGB estimation model with field data at the flight area scale. Then based on the forest classification map and AGB estimation by LiDAR, a scaling model will retrieve the AGB at 30m spatial resolution scale by TM data. After that, a pixel-based forest canopy height map covered a large study area is estimated using the space-borne GLAS footprints. Finally, a scaling model combining 30m AGB, MODIS time series data, continuous canopy height map, fraction of vegetation cover and forest classification data will be built up for mapping the AGB at a large scale. At each scale, the validation and feasibility analysis of the models for AGB estimation will be carried out.