DocumentCode :
3375787
Title :
Estimating terrestrial gross primary productivity with the Envisat Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI)
Author :
Almond, Samuel ; Boyd, Doreen S. ; Dash, Jadunandan ; Curran, Paul J. ; Hill, Ross A. ; Foody, Giles M.
Author_Institution :
G-STEP, Univ. of Leicester, Leicester, UK
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4792
Lastpage :
4795
Abstract :
This paper explores the potential of using the Medium Resolution Medium Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) for estimating gross primary productivity across a range of vegetation cover types. Correlations between flux tower measures of GPP and corresponding MTCI for years between 2003 and 2007 were established for 30 sites across the Americas. Correlations were seen to range from very strong to weak depending on variation in chlorophyll content exhibited. Moreover, comparison of the performance of the MTCI against the MOD17 GPP product at selected sites indicated that overall, the correlation between flux tower and MOD17 GPP estimates were not as strong as obtained when using the MTCI. These results demonstrate the potential of this approach and should be developed further.
Keywords :
image resolution; photosynthesis; spectrometers; vegetation mapping; GPP; MERIS; MTCI; chlorophyll content; envisat medium resolution imaging spectrometer; flux tower measures; terrestrial chlorophyll index; terrestrial gross primary productivity; vegetation cover type; Biological system modeling; Correlation; Ecosystems; Poles and towers; Productivity; Remote sensing; Vegetation mapping; Vegetation index; gross primary productivity; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5654088
Filename :
5654088
Link To Document :
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