Can MODIS EVI monitor ecosystem productivity in the Amazon rainforest?

被引:42
作者
Maeda, Eduardo Eiji [1 ]
Heiskanen, Janne [1 ]
Aragao, Luiz E. O. C. [2 ]
Rinne, Janne [1 ]
机构
[1] Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland
[2] Natl Inst Space Res, Sao Jose Dos Campos, Brazil
基金
芬兰科学院;
关键词
EVI; MODIS; Amazon; phenology; anomalies; DRY SEASON; VARIABILITY; SITE;
D O I
10.1002/2014GL061535
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The enhanced vegetation index (EVI) obtained from satellite imagery has often been used as a proxy of vegetation functioning and productivity in the Amazon rainforest. However, recent studies indicate that EVI patterns are strongly affected by satellite data artifacts. Hence, it is unclear if EVI is sensitive to subtle seasonal variations in evergreen Amazon forest productivity. This study analyzes 12years of Moderate Resolution Imaging Spectroradiometer (MODIS) EVI in order to evaluate its response to factors driving productivity in the Amazon. We show that, after removing cloud and aerosol contamination, and correcting bidirectional reflectance distribution function effects, radiation and rainfall extremes show no influence on EVI anomalies. However, EVI seasonal patterns are still evident after accounting for Sun-sensor geometry effects. This remaining pattern cannot be explained by solar radiation or rainfall, but it is significantly correlated to gross primary production (GPP). Nevertheless, we argue that the causality between GPP and EVI should be interpreted with caution.
引用
收藏
页码:7176 / 7183
页数:8
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