GLAS星载激光雷达和Landsat/ETM+数据的森林生物量估算  

Estimation of forest aboveground biomass using ICESat/GLAS data and Landsat/ETM+ imagery

作　　者：池泓[1] 黄进良[1] 邱娟[1] 孙国清[2] 付安民[3] CHI Hong;HUANG J inliang;QIU Juan;SUN Guoqing;FU Anmin(Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;Department of Geography, College Park, University of Maryland, MD 20742, USA;Academy of Forest Inventory and Planning, State Forestry Administration, People＇s Republic of China, Beijing 100714, China)

机构地区：[1]中国科学院测量与地球物理研究所,武汉430077 [2]马里兰大学帕克分校地理系,马里兰州20742 [3]国家林业局调查规划设计院,北京100714

出　　处：《测绘科学》2018年第4期9-16,23,共9页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41201371;41271125)

摘　　要：基于大脚印激光雷达数据和野外观测数据,该文提出一种获取脚印点内森林生物量的新思路,并结合陆地卫星数据应用于长白山地区森林地上生物量估算。首先,基于3种森林类型(针叶林、阔叶林和针阔混交林),采用多元逐步回归方法建立激光雷达波形指数与脚印点内实测平均树高的回归模型,估算全部脚印点内的平均树高;然后根据脚印点内样方的野外观测数据(平均树高和平均胸径)以及它们与样方生物量的拟合方程估算没有野外调查数据对应的脚印点的生物量;最后对3种森林类型的脚印点森林生物量在各森林覆盖度条件下进行分层分区统计得到生物量等级图。验证比较遥感估算的生物量与野外调查数据推算的生物量,总体误差在0~30(t·hm^(-2))之间,均方根误差为14.66(t·hm^(-2))。Based on field survey data and large footprint LiDAR data,an new approach to estimating forest aboveground biomass（AGB）within footprints was proposed in the paper.This method was applied to estimate forest AGB in Changbai mountain area by using landsat data.Firstly,models of three forest types（conifer forests,broadleaf forests and mixed forests）for prediction of mean canopy height at GLAS footprint level were developed from GLAS waveform parameters and mean canopy height of field survey plot through multiple stepwise regression analyses.Then,mean canopy height of each footprint can be estimated.Secondly,equations fitting by field survey data（mean canopy height and diameter at breast height）and biomass derived from wood weight per unit area at sub-footprint level were used to estimate biomass of footprints that were not co-located with field survey plots.Lastly,an AGB map was produced by the processing of footprint biomass stratified statistics with different forest fractional coverage of three forest types.Comparing estimated biomass with field inventory data,the total error was in the range from 0 to 30（t·hm^-2）,and the root mean square error（RMSE）was 14.66（t·hm^-2）.

关 键 词：森林地上生物量 大脚印激光雷达 多元逐步回归 森林覆盖度 陆地卫星 

分 类 号：P23[天文地球—摄影测量与遥感]