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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Evaluation of MODIS gross primary productivity for Africa using eddy covariance data
Remote Sensing of Environment, Volume 131, Year 2013
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Description
MOD17A2 provides operational gross primary production (GPP) data globally at 1km spatial resolution and 8-day temporal resolution. MOD17A2 estimates GPP according to the light use efficiency (LUE) concept assuming a fixed maximum rate of carbon assimilation per unit photosynthetically active radiation absorbed by the vegetation (εmax). Minimum temperature and vapor pressure deficit derived from meteorological data down-regulate εmax and constrain carbon assimilation. This data is useful for regional to global studies of the terrestrial carbon budget, climate change and natural resources. In this study we evaluated the MOD17A2 product and its driver data by using in situ measurements of meteorology and eddy covariance GPP for 12 African sites. MOD17A2 agreed well with eddy covariance GPP for wet sites. Overall, seasonality was well captured but MOD17A2 GPP was underestimated for the dry sites located in the Sahel region. Replacing the meteorological driver data derived from coarse resolution reanalysis data with tower measurements reduced MOD17A2 GPP uncertainties, however, the underestimations at the dry sites persisted. Inferred εmax calculated from tower data was higher than the εmax prescribed in MOD17A2. This, in addition to uncertainties in fraction of absorbed photosynthetically active radiation (FAPAR) explains some of the underestimations. The results suggest that improved quality of driver data, but primarily a readjustment of the parameters in the biome parameter look-up table (BPLUT) may be needed to better estimate GPP for African ecosystems in MOD17A2. © 2012 Elsevier Inc.
Authors & Co-Authors
Sjöström, M.
Unknown Affiliation
Zhao, Maosheng
Unknown Affiliation
Archibald, Sally
Unknown Affiliation
Arneth, Almut
Unknown Affiliation
Cappelaere, Bernard
Unknown Affiliation
Falk, Ulrike
Unknown Affiliation
De Grandcourt, A.
Unknown Affiliation
Hanan, Niall P.
Unknown Affiliation
Kergoat, Laurent
Unknown Affiliation
Kutsch, Werner Leo
Unknown Affiliation
Merbold, Lutz
Unknown Affiliation
Mougin, Éric
Unknown Affiliation
Nickless, Alecia
Unknown Affiliation
Nouvellon, Yann
Unknown Affiliation
Scholes, Robert J.
Unknown Affiliation
Veenendaal, Elmar M.
Unknown Affiliation
Ardö, Jonas
Unknown Affiliation
Statistics
Citations: 151
Authors: 17
Affiliations: 15
Identifiers
Doi:
10.1016/j.rse.2012.12.023
ISSN:
00344257
Research Areas
Cancer
Environmental