星载LiDAR与MODIS多光谱数据联合估测区域生物量  

Combined Spaceborne LiDAR and MODIS Multispectral Data to Estimate Regional Biomass

作　　者：王馨慧 邢艳秋[1] 黄佳鹏 尤浩田 常晓晴 WANG Xinhui;XING Yanqiu;HUANG Jiapeng;YOU Haotian;CHANG Xiaoqing(Center for Forest Operations and Environment, Northeast Forestry University, Harbin 150040,China;College of Geomatics and Geoinformation, Guilin University of Technology, Guilin,Guangxi 541004,China)

机构地区：[1]东北林业大学森林作业与环境研究中心,哈尔滨150040 [2]桂林理工大学测绘地理信息学院,广西桂林541004

出　　处：《遥感信息》2020年第5期140-147,共8页Remote Sensing Information

基　　金：国家重点研发计划项目(2017YFD060090402);卫星测绘技术与应用国家测绘地理信息局重点实验室项目(KLSMTA-201706)。

摘　　要：针对区域森林生物量连续、高精度估测的难题,以黑龙江省伊春市带岭区作为研究区,提出了联合ICESat-GLAS波形数据、MODIS多光谱数据以及野外调查数据建立生物量模型的方法。该方法通过建立GLAS森林平均冠层高度估测模型、区域森林平均冠层高度的BP神经网络估算模型以及样地森林平均冠层高度-生物量模型,实现全区域森林生物量的连续高精度估测。实验结果为:GLAS森林平均冠层高度估测模型的R2=0.801,RMSE=0.614;区域森林平均冠层高度的BP网络估测模型的R2=0.8867,RMSE=0.794;针叶林、阔叶林、针阔混交林样地森林平均冠层高度-生物量模型的R2分别为0.802、0.826、0.794,RMSE分别为0.731、0.613、0.344。结果表明:将GLAS波形数据与MODIS多光谱数据联合,可以弥补由于GLAS光斑分布呈条带状而无法实现区域森林平均冠层高度估测的缺陷,实现对区域森林平均冠层高度以及生物量的高精度估测;利用森林平均冠层高度与森林生物量建模,可以解决大区域生物量计算中胸径参数难以获取的问题。In order to achieve continuous and high-precision estimation of forest biomass,this paper proposes a method for establishing a biomass model combined ICESat-GLAS waveform data,MODIS multispectral data and field survey data at Dailing district,Yichun city,Heilongjiang province.This method achieves a continuous and high-accuracy estimation of forest biomass in the whole region by establishing a GLAS forest average canopy height estimation model,a BP neural network estimation model for regional forest average canopy height,and a model of field sample plot biomass and forest average canopy height.The experimental results show that:the R2 and RMSE value of the GLAS forest average canopy height estimation model are 0.801 and 0.614;the R2 and RMSE value of the regional forest average canopy height estimation model are 0.8867 and 0.794;the R2 of coniferous forest,broad-leaved forest,mixed forest plot biomass and forest average canopy height model is 0.802,0.826,0.794,and RMSE is 0.731,0.613,and 0.344.The results show that:combining the GLAS waveform data with the MODIS multi-spectral data can make up for the defect that the GLAS spot distribution is strip-shaped and cannot achieve the estimation of the average canopy height of the regional forest,thereby achieve the high-precision estimation of the average canopy height and biomass of the regional forest;and using the average canopy height of forest and forest biomass modeling can solve the problem of difficult access to the DBH parameters in large-area biomass calculations.

关 键 词：ICESat-GLAS波形数据 MODIS多光谱数据 模型 森林平均冠层高度 生物量 

分 类 号：S771[农业科学—森林工程]