Analysis of the MISR LA/FPAR product for spatial and temporal coverage, accuracy and consistency

被引:35
作者
Hu, Jiannan
Su, Yin
Tan, Bin
Huang, Dong
Yang, Wenze
Schull, Mitchell
Bull, Michael A.
Martonchik, John V.
Diner, David J.
Knyazikhin, Yuri
Myneni, Ranga B.
机构
[1] Boston Univ, Dept Geog, Boston, MA 02215 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
关键词
MISR; leaf area index; fraction of photosynthetically active radiation absorved by vegetation; satellite product;
D O I
10.1016/j.rse.2006.06.020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Multi-angle Imaging SpectroRadiometer (MISR) instrument provides global imagery at nine discrete viewing angles and four visible/near-infrared spectral bands. MISR standard products include green leaf area index (LAI) of vegetation and fraction of photosynthetically active radiation absorbed by vegetation (FPAR). This paper describes the research basis for transitioning the MISR LAI/FPAR products from provisional to validation status. The efforts included not only comparisons to field data but also analyses of relationships, consistency and complementarity between various MISR products derived by independent algorithms. For example, we show how the energy absorbed by the ground below vegetation can be estimated from two independent MISR products, FPAR and BHRPAR (bi-hemispheric reflectance at PAR wavelengths). Further, we show that this information can be used to derive at least three measures of canopy structure - Beer's law extinction coefficient, mean leaf inclination and the gap fraction or vegetation ground cover. The spatial and temporal coverage of the LAI/FPAR product is mainly limited by cloud contamination. However, when a successful aerosol retrieval is performed, typically 95% of pixels have surface reflectance retrievals suitable as input to the LAI/FPAR algorithm. The algorithm provides LAI/FPAR retrievals in 50-80% of these pixels with suitable input. The early versions of the algorithm overestimated LAI values in grasses and broadleaf crops. The MISR LAI product from the recalibrated algorithm (version 3.3) is assessed by comparison with field data collected in a 3 x 3 km agricultural area (grasses and cereal crops) near Avignon, France. LAI retrievals in other biomes are compared to MODIS LAI product of known accuracy. The MISR LAI product shows structural and phenological variability in agreement with data. Our results suggest that the product is accurate to within 0.66 LAI in herbaceous vegetation and savannas and is an overestimate by about 1 LAI in broadleaf forests. LAI retrievals over needle leaf forests remain at provisional quality level. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:334 / 347
页数:14
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