In this study we evaluated the potential of the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) for monitoring gross primary productivity (GPP) across fifteen eddy covariance towers encompassing a wide variation in North American vegetation composition. The across-site relationship between MTCI and tower GPP was stronger than that between either the MODIS GPP or EVI and tower GPP, suggesting that data from the MERIS sensor can be used as a valid alternative to MODIS for estimating carbon fluxes. Correlations between tower GPP and both vegetation indices (EVI and MTCI) were similar only for deciduous vegetation, indicating that physiologically.
Gross primary productivity (GPP) is the largest and most variable component of the global terrestria...
The Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI), a standard ...
The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scien...
[1] Carbon flux models based on light use efficiency (LUE), such as the MOD17 algorithm, have proved...
Carbon flux models that are largely driven by remotely sensed data can be used to estimate gross pri...
Algorithms that use remotely-sensed vegetation indices to estimate gross primary production (GPP), a...
This paper evaluates three Envisat MERIS Terrestrial Chlorophyll Index (MTCI) based models for the e...
We tested the potential of estimating per-pixel gross primary production (GPP) directly from the MOD...
The National Aeronautics and Space Agency NASA's Moderate Resolution Imaging Spectroradiometer (MODI...
The simulation of gross primary production (GPP) at various spatial and temporal scales remains a ma...
A physiologically-driven spectral index using two ocean-color bands of MODIS satellite sensor showed...
The climatic patterns of the world are changing and with them the spatial distribution of global ter...
International audienceAn accurate estimation of vegetation gross primary productivity (GPP), which i...
The Moderate Resolution Spectroradiometer (MODIS) sensor has provided near real-time estimates of gr...
One of the most frequently applied methods for integrating controls on primary production through sa...
Gross primary productivity (GPP) is the largest and most variable component of the global terrestria...
The Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI), a standard ...
The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scien...
[1] Carbon flux models based on light use efficiency (LUE), such as the MOD17 algorithm, have proved...
Carbon flux models that are largely driven by remotely sensed data can be used to estimate gross pri...
Algorithms that use remotely-sensed vegetation indices to estimate gross primary production (GPP), a...
This paper evaluates three Envisat MERIS Terrestrial Chlorophyll Index (MTCI) based models for the e...
We tested the potential of estimating per-pixel gross primary production (GPP) directly from the MOD...
The National Aeronautics and Space Agency NASA's Moderate Resolution Imaging Spectroradiometer (MODI...
The simulation of gross primary production (GPP) at various spatial and temporal scales remains a ma...
A physiologically-driven spectral index using two ocean-color bands of MODIS satellite sensor showed...
The climatic patterns of the world are changing and with them the spatial distribution of global ter...
International audienceAn accurate estimation of vegetation gross primary productivity (GPP), which i...
The Moderate Resolution Spectroradiometer (MODIS) sensor has provided near real-time estimates of gr...
One of the most frequently applied methods for integrating controls on primary production through sa...
Gross primary productivity (GPP) is the largest and most variable component of the global terrestria...
The Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI), a standard ...
The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scien...