Assessing the Impacts of Forest Background Reflectance on Estimating Aboveground Biomass—a case study of forest area in Great Khingan

doi:10.13466/j.cnki.lyzygl.2017.04.010

Abstract

Abstract:

Remote sensing technology is of great importance to estimating large-scale forest canopy leaf characteristics dynamically,and there is a good statistical relationship between forest aboveground biomass (AGB) and leaf biomass.It is feasible to estimate leaf biomass and then AGB based on canopy effective leaf area index (LAIe) estimated from remotely sensed data.However,the forest background information,such as understory vegetation,has a negative influence on LAIe and AGB retrieval by this way.Therefore,this paper focused on exploring the impacts of forest background reflectance on LAIe and AGB inversion in the Great Khingan forest area using moderate resolution imaging spectroradiometer (MODIS) data and a four scale model.The results showed that both LAIe and AGB were sensitive to the forest background reflectance.The determinate coefficient (R²) between MODIS-and Landsat thematic mapper (TM)-based LAIe increased from 0.32 (n=25,p<0.1) to 0.48 (n=25,p<0.01) when eliminating the influence of background reflectance on LAI inversion.Also,the AGB estimates were more related to the national forest inventory (NFI)-based AGB after considering the effects of forest background (R²=0.86,n=10,p<0.01).Forest LAI and AGB overestimation could be put right in this research.

Key words: background reflectance, LAI, foliage biomass, forest AGB

CLC Number:

S757.2
TP79

LU Xiaoman, ZHENG Guang, JU Weimin, DAI Shengpei, GAO Lun. Assessing the Impacts of Forest Background Reflectance on Estimating Aboveground Biomass—a case study of forest area in Great Khingan[J]. FOREST RESOURCES WANAGEMENT, 2017, (4): 59-68.

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参数	单位	测量工具
树冠高度	m	Leica-D2
树冠密度	株/hm²	皮尺
树冠半径	m	Leica-D2
树干高度	m	Leica-D2
DBH	cm	皮尺
LAIe	m²/m²	LAI-2200
Ω	1	TRAC