Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach

A. F. Rahman; V. D. Cordova; J. A. Gamon; H. P. Schmid; D. A. Sims

doi:10.1029/2004GL019778

Potential of MODIS ocean bands for estimating CO₂ flux from terrestrial vegetation: A novel approach

A. F. Rahman
, V. D. Cordova
, J. A. Gamon
, H. P. Schmid
, D. A. Sims

Ball State University
California State University Los Angeles
Indiana University Bloomington

Research output: Contribution to journal › Article › peer-review

108 Scopus citations

Abstract

A physiologically-driven spectral index using two ocean-color bands of MODIS satellite sensor showed great potential to track seasonally changing photosynthetic light use efficiency (LUE) and stress-induced reduction in net primary productivity (NPP) of terrestrial vegetation. Based on these findings, we developed a simple "continuous field" model solely based on remotely sensed spectral data that could explain 88% of variability in flux-tower based daily NPP. For the first time, such a procedure is successfully tested at landscape level using satellite imagery. These findings highlight the unexplored potential of narrow-band satellite sensors to improve estimates of spatial and temporal distribution in terrestrial carbon flux.

Original language	English
Pages (from-to)	L10503 1-4
Journal	Geophysical Research Letters
Volume	31
Issue number	10
DOIs	https://doi.org/10.1029/2004GL019778
State	Published - 28 May 2004
Externally published	Yes

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10.1029/2004GL019778

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title = "Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach",

abstract = "A physiologically-driven spectral index using two ocean-color bands of MODIS satellite sensor showed great potential to track seasonally changing photosynthetic light use efficiency (LUE) and stress-induced reduction in net primary productivity (NPP) of terrestrial vegetation. Based on these findings, we developed a simple {"}continuous field{"} model solely based on remotely sensed spectral data that could explain 88\% of variability in flux-tower based daily NPP. For the first time, such a procedure is successfully tested at landscape level using satellite imagery. These findings highlight the unexplored potential of narrow-band satellite sensors to improve estimates of spatial and temporal distribution in terrestrial carbon flux.",

author = "Rahman, \{A. F.\} and Cordova, \{V. D.\} and Gamon, \{J. A.\} and Schmid, \{H. P.\} and Sims, \{D. A.\}",

year = "2004",

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T1 - Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation

T2 - A novel approach

AU - Rahman, A. F.

AU - Cordova, V. D.

AU - Gamon, J. A.

AU - Schmid, H. P.

AU - Sims, D. A.

PY - 2004/5/28

Y1 - 2004/5/28

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AB - A physiologically-driven spectral index using two ocean-color bands of MODIS satellite sensor showed great potential to track seasonally changing photosynthetic light use efficiency (LUE) and stress-induced reduction in net primary productivity (NPP) of terrestrial vegetation. Based on these findings, we developed a simple "continuous field" model solely based on remotely sensed spectral data that could explain 88% of variability in flux-tower based daily NPP. For the first time, such a procedure is successfully tested at landscape level using satellite imagery. These findings highlight the unexplored potential of narrow-band satellite sensors to improve estimates of spatial and temporal distribution in terrestrial carbon flux.

UR - https://www.scopus.com/pages/publications/4143119967

U2 - 10.1029/2004GL019778

DO - 10.1029/2004GL019778

M3 - Article

AN - SCOPUS:4143119967

SN - 0094-8276

VL - 31

SP - L10503 1-4

JO - Geophysical Research Letters

JF - Geophysical Research Letters

IS - 10

ER -

Potential of MODIS ocean bands for estimating CO₂ flux from terrestrial vegetation: A novel approach

Abstract

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