On the use of MODIS EVI to assess gross primary productivity of North American ecosystems
Daniel A. Sims,Abdullah F. Rahman,Vicente D. Cordova,Bassil El-Masri,Dennis D. Baldocchi,Lawrence B. Flanagan,Allen H. Goldstein,David Y. Hollinger,Laurent Misson,Russell K. Monson,Walter C. Oechel,Hans Peter Schmid,Steven C. Wofsy,Liukang Xu +13 more
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In this paper, the authors examined direct relationships between the enhanced vegetation index (EVI) and gross primary productivity (GPP) measured at nine eddy covariance flux tower sites across North America.Abstract:
[1] Carbon flux models based on light use efficiency (LUE), such as the MOD17 algorithm, have proved difficult to parameterize because of uncertainties in the LUE term, which is usually estimated from meteorological variables available only at large spatial scales. In search of simpler models based entirely on remote-sensing data, we examined direct relationships between the enhanced vegetation index (EVI) and gross primary productivity (GPP) measured at nine eddy covariance flux tower sites across North America. When data from the winter period of inactive photosynthesis were excluded, the overall relationship between EVI and tower GPP was better than that between MOD17 GPP and tower GPP. However, the EVI/GPP relationships vary between sites. Correlations between EVI and GPP were generally greater for deciduous than for evergreen sites. However, this correlation declined substantially only for sites with the smallest seasonal variation in EVI, suggesting that this relationship can be used for all but the most evergreen sites. Within sites dominated by either evergreen or deciduous species, seasonal variation in EVI was best explained by the severity of summer drought. Our results demonstrate that EVI alone can provide estimates of GPP that are as good as, if not better than, current versions of the MOD17 algorithm for many sites during the active period of photosynthesis. Preliminary data suggest that inclusion of other remote-sensing products in addition to EVI, such as the MODIS land surface temperature (LST), may result in more robust models of carbon balance based entirely on remote-sensing data.read more
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Development of a two-band enhanced vegetation index without a blue band
TL;DR: In this paper, the authors developed and evaluated a 2-band enhanced vegetation index (EVI2), without a blue band, which has the best similarity with the 3-band EVI, particularly when atmospheric effects are insignificant and data quality is good.
Journal ArticleDOI
Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence
Luis Guanter,Yongguang Zhang,Martin Jung,Joanna Joiner,Maximillian Voigt,Joseph A. Berry,Christian Frankenberg,Alfredo Huete,Pablo J. Zarco-Tejada,Jung-Eun Lee,M. Susan Moran,Guillermo E. Ponce-Campos,Christian Beer,Gustavo Camps-Valls,Nina Buchmann,Damiano Gianelle,Katja Klumpp,Alessandro Cescatti,John M. Baker,Timothy J. Griffis +19 more
TL;DR: New space-based observations of chlorophyll fluorescence enable an accurate, global, and time-resolved measurement of crop photosynthesis, which is not possible from any other remote vegetation measurement, and indicates that SIF data can help improve global models for more accurate projections of agricultural productivity and climate impact on crop yields.
Journal ArticleDOI
Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model
TL;DR: In this article, a machine learning approach dedicated to the upscaling of observations from the current global network of eddy covariance towers (FLUXNET) is introduced and validated.
Journal ArticleDOI
Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape.
TL;DR: Case studies are used to illustrate the use and misuse of VIs, and argue for using VIs most simply as a measurement of canopy light absorption rather than as a surrogate for detailed features of canopy architecture, which are compatible with “Big Leaf” SVAT and GCM models.
References
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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
Journal ArticleDOI
Solar radiation and productivity in tropical ecosystems
TL;DR: Conventional estimates of efficiency in terms of the amount of solar radiation incident at the earth's surface provide ecologists and agronomists with a method for comparing plant productivity under different systems of land use and management and in different * Opening paper read at IBP/UNESCO Meeting on Productivity of Tropical Ecosystems.
Journal ArticleDOI
A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production
Steven W. Running,Ramakrishna R. Nemani,Faith Ann Heinsch,Maosheng Zhao,Matthew C. Reeves,Hirofumi Hashimoto +5 more
TL;DR: A new satellite-driven monitor of the global biosphere that regularly computes daily gross primary production and annual net primary production at 1-kilometer (km) resolution over 109,782,756 km2 of vegetated land surface is introduced.
Book
Climate and plant distribution
TL;DR: In this paper, the authors present a survey of the distribution of taxa in the world of climate and vegetation in terms of the number of species in each taxa and the scale of the scale.
Journal ArticleDOI
A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency
TL;DR: In this article, the authors presented a new "physiological reflectance index" (PRI) isolated from narrow waveband spectral measurements of sunflower canopies, which correlates with the epoxidation state of the xanthophyll cycle pigments.
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