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Estimation of Crop Gross Primary Production (GPP): Fapar(sub Chl) Versus MOD15A2 FPARPhotosynthesis (PSN) is a pigment level process in which antenna pigments (predominately chlorophylls) in chloroplasts absorb photosynthetically active radiation (PAR) for the photochemical process. PAR absorbed by foliar non-photosynthetic components is not used for PSN. The fraction of PAR absorbed (fAPAR) by a canopy/vegetation (i.e., fAPAR(sub canopy)) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) images, referred to as MOD15A2 FPAR, has been used to compute absorbed PAR (APAR) for PSN (APARPSN) which is utilized to produce the standard MODIS gross primary production (GPP) product, referred to as MOD17A2 GPP. In this study, the fraction of PAR absorbed by chlorophyll throughout the canopy (fAPAR(sub chl)) was retrieved from MODIS images for three AmeriFlux crop fields in Nebraska. There are few studies in the literature that compare the performance of MOD15A2 FPAR versus fAPAR(sub chl) in GPP estimation. In our study MOD15A2 FPAR and the retrieved fAPAR(sub chl) were compared with field fAPAR(sub canopy) and the fraction of PAR absorbed by green leaves of the vegetation (fAPAR(sub green)). MOD15A2 FPAR overestimated field fAPAR(sub canopy) in spring and in fall, and underestimated field fAPAR(sub canopy) in midsummer whereas fAPAR(sub chl) correctly captured the seasonal phenology. The retrieved fAPAR(sub chl) agreed well with field fAPAR(sub green) at early crop growth stage in June, and was less than field fAPAR(sub green) in late July, August and September. GPP estimates with fAPAR(sub chl) and with MOD15A2 FPAR were compared to tower flux GPP. GPP simulated with fAPAR(sub chl) was corroborated with tower flux GPP. Improvements in crop GPP estimation were achieved by replacing MOD15A2 FPAR with fAPAR(sub chl) which also reduced uncertainties of crop GPP estimates by 1.12-2.37 g C m(sup −2) d(sup −1).
Document ID
20150018796
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Qingyuan Zhang
(Universities Space Research Association Columbia, Maryland, United States)
Yen-Ben Cheng
(Sigma Space Corp Lanham, MD, United States)
Alexei I Lyapustin
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Yujie Wang
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Feng Gao
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
Andrew Suyker
(University of Nebraska–Lincoln Lincoln, Nebraska, United States)
Shashi Verma
(University of Nebraska–Lincoln Lincoln, Nebraska, United States)
Elizabeth M Middleton
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
October 5, 2015
Publication Date
August 14, 2014
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 153
Issue Publication Date: October 1, 2014
ISSN: 0034-4257
URL: https://www.sciencedirect.com/science/article/pii/S0034425714002600
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN22353
Funding Number(s)
CONTRACT_GRANT: NNX14AK50G
CONTRACT_GRANT: NNX10AT36A
CONTRACT_GRANT: NNX12AJ51G
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
GPM
MODIS
fAPARchl
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