Remote sensing of biophysical variables in boreal forest stands of Picea mariana

被引:27
|
作者
Hall, FG [1 ]
Peddle, DR [1 ]
Ledrew, EF [1 ]
机构
[1] UNIV WATERLOO,DEPT GEOG,WATERLOO,ON N2L 3G1,CANADA
基金
美国国家航空航天局; 加拿大自然科学与工程研究理事会;
关键词
D O I
10.1080/01431169608949129
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Using two hybrid radiative transfer models to represent conifer canopies and stands, algorithms to infer several important structural parameters of stands of black spruce (Picea mariana), the most common boreal forest dominant, were developed and evaluated. Spectral mixture analysis and multi-spectral reflectance data for 31 black spruce stands of varying density and structure were used to infer the values for the areal proportions of sunlit canopy, sunlit background and shadow fraction, which we call radiometric elements, and the areal proportions of these radiometric elements were strongly related to leaf area index, biomass density, and annual above ground net primary productivity. The best overall correspondence between the radiometric elements and biophysical variables was found from the shadow fraction obtained with the cone-based canopy reflectance model corrected for variations in solar zenith angle.
引用
收藏
页码:3077 / 3081
页数:5
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