Effect of foliage spatial heterogeneity in the MODIS LAI and FPAR algorithm over broadleaf forests

被引：94

作者：

Shabanov, NV ^{[1
]}

Wang, Y ^{[1
]}

Buermann, W ^{[1
]}

Dong, J ^{[1
]}

Hoffman, S ^{[1
]}

Smith, GR ^{[1
]}

Tian, Y ^{[1
]}

Knyazikhin, Y ^{[1
]}

Myneni, RB ^{[1
]}

机构：

[1] Boston Univ, Dept Geog, Boston, MA 02215 USA

来源：

REMOTE SENSING OF ENVIRONMENT | 2003年 / 85卷 / 04期

基金：

美国国家航空航天局;

关键词：

MODIS; LAI; FPAR; stochastic radiative transfer; vegetation remote sensing;

D O I：

10.1016/S0034-4257(03)00017-8

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents the analysis of radiative transfer assumptions underlying moderate resolution imaging spectroradiometer (MODIS) leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) algorithm for the case of spatially heterogeneous broadleaf forests. Data collected by a Boston University research group during the July 2000 field campaign at the Earth Observing System (EOS) core validation site, Harvard Forest, MA, were used for this purpose. The analysis covers three themes. First, the assumption of wavelength independence of spectral invariants of transport equation, central to the parameterization of the MODIS LAI and FPAR algorithm, is evaluated. The physical interpretation of those parameters is given and an approach to minimize the uncertainties in its retrievals is proposed. Second, the theoretical basis of the algorithm was refined by introducing stochastic concepts which account for the effect of foliage clumping and discontinuities on LAI retrievals. Third, the effect of spatial heterogeneity in FPAR was analyzed and compared to FPAR variation due to diurnal changes in solar zenith angle (SZA) to asses the validity of its static approximation. (C) 2003 Elsevier Science Inc. All rights reserved.

引用

页码：410 / 423

页数：14

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