Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau

Zhang, Y; Yu, Q; Jiang, J; Tang, Y

Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau

Zhang, Y Yu, Q

Jiang, J Tang, Y

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Publication Type:: Journal Article
Citation:: Global Change Biology, 2008, 14 (4), pp. 757 - 767
Issue Date:: 2008-04-01

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Field	Value	Language
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821	en_US
dc.contributor.author	Jiang, J	en_US
dc.contributor.author	Tang, Y	en_US
dc.date.issued	2008-04-01	en_US
dc.identifier.citation	Global Change Biology, 2008, 14 (4), pp. 757 - 767	en_US
dc.identifier.issn	1354-1013	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8654
dc.description.abstract	This paper evaluated the MODerate resolution Imaging Spectroradiometer (MODIS) gross primary production (GPP) product (MOD17) by using estimated GPP from eddy-covariance flux measurements over an irrigated winter wheat and maize double-cropping field on the North China Plain in 2003-2004, and an alpine meadow on the Tibetan Plateau in 2002-2003. The mean annual GPP from MOD17 accounted for 1/2-2/3 of the surface estimated mean annual GPP for the alpine meadow, but only about 1/5-1/3 for the cropland. This underestimation was partly attributed to low estimates of leaf area index by a MODIS product (MOD15) because it is used to calculate absorbed photosynthetically active radiation in the MOD17 algorithm. The main reason is that the parameter maximum light use efficiency (εmax) in the MOD17 algorithm was underestimated for the two biomes, especially for the cropland. Contrasted to the default, εmax was optimized using surface measurements. The optimized εmax for winter wheat, maize and meadow was 1.18, 1.81 and 0.73g C/MJ, respectively. By using the surface measurements and optimized εmax, the MOD17 algorithm significantly improved the accuracy of GPP estimates. The optimum MOD17 algorithm explained about 82%, 68%, and 79% of GPP variance for winter wheat, maize, and meadow, respectively. These results suggest that it is necessary to adjust the MOD17 parameters for the estimation of cropland and meadow GPP, particularly over cropland. © Journal compilation © 2008 Blackwell Publishing.	en_US
dc.relation.ispartof	Global Change Biology	en_US
dc.relation.isbasedon	10.1111/j.1365-2486.2008.01538.x	en_US
dc.subject.classification	Ecology	en_US
dc.title	Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	14	en_US
utslib.for	0602 Ecology	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	06 Biological Sciences	en_US
dc.location.activity	ISI:000254126300005	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	14	en_US

Abstract:

This paper evaluated the MODerate resolution Imaging Spectroradiometer (MODIS) gross primary production (GPP) product (MOD17) by using estimated GPP from eddy-covariance flux measurements over an irrigated winter wheat and maize double-cropping field on the North China Plain in 2003-2004, and an alpine meadow on the Tibetan Plateau in 2002-2003. The mean annual GPP from MOD17 accounted for 1/2-2/3 of the surface estimated mean annual GPP for the alpine meadow, but only about 1/5-1/3 for the cropland. This underestimation was partly attributed to low estimates of leaf area index by a MODIS product (MOD15) because it is used to calculate absorbed photosynthetically active radiation in the MOD17 algorithm. The main reason is that the parameter maximum light use efficiency (εmax) in the MOD17 algorithm was underestimated for the two biomes, especially for the cropland. Contrasted to the default, εmax was optimized using surface measurements. The optimized εmax for winter wheat, maize and meadow was 1.18, 1.81 and 0.73g C/MJ, respectively. By using the surface measurements and optimized εmax, the MOD17 algorithm significantly improved the accuracy of GPP estimates. The optimum MOD17 algorithm explained about 82%, 68%, and 79% of GPP variance for winter wheat, maize, and meadow, respectively. These results suggest that it is necessary to adjust the MOD17 parameters for the estimation of cropland and meadow GPP, particularly over cropland. © Journal compilation © 2008 Blackwell Publishing.

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http://hdl.handle.net/10453/8654