DOI: 10.1002/2014GL061535
论文题名: Can MODIS EVI monitor ecosystem productivity in the Amazon rainforest?
作者: Maeda E.E. ; Heiskanen J. ; Aragão L.E.O.C. ; Rinne J.
刊名: Geophysical Research Letters
ISSN: 0094-9682
EISSN: 1944-9413
出版年: 2014
卷: 41, 期: 20 起始页码: 7176
结束页码: 7183
语种: 英语
英文关键词: Amazon
; anomalies
; EVI
; MODIS
; phenology
Scopus关键词: Distribution functions
; Image reconstruction
; Productivity
; Radiation effects
; Radiometers
; Rain
; Sun
; Vegetation
; Amazon
; anomalies
; EVI
; MODIS
; phenology
; Satellite imagery
; aerosol
; atmospheric pollution
; evergreen forest
; geometry
; MODIS
; phenology
; primary production
; rainforest
; solar radiation
; Amazonia
英文摘要: 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 12-years 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. Key Points Monthly EVI anomalies are not sensitive to radiation or rainfall extremesEVI seasonality in the Amazon is still present after BRDF correctionAlthough EVI and GPP correlate, interpretations of causality require caution ©2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911453716&doi=10.1002%2f2014GL061535&partnerID=40&md5=7d43a91af3e4bcddbc2419e7e3e7b632
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6946
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland
Recommended Citation:
Maeda E.E.,Heiskanen J.,Aragão L.E.O.C.,et al. Can MODIS EVI monitor ecosystem productivity in the Amazon rainforest?[J]. Geophysical Research Letters,2014-01-01,41(20).