Research Papers

Use of a vegetation index model to estimate gross primary production in open grassland

[+] Author Affiliations
Chaoyang Wu

The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China

University of Toronto, Department of Geography, 100 St. George Street, Room 5047, Toronto, Ontario M5S 3G3, Canada

J. Appl. Remote Sens. 6(1), 063532 (May 21, 2012). doi:10.1117/1.JRS.6.063532
History: Received September 27, 2011; Revised March 13, 2012; Accepted March 23, 2012
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Abstract.  Observations from satellite remote sensing provide important tools for regional and global monitoring of terrestrial ecosystems. This article evaluated a recently developed vegetation index (VI) model that estimates gross primary production (GPP) in an open grassland using flux measurements and 250-m moderate-resolution imaging spectroradiometer (MODIS) images. Two VIs, the two-band enhanced vegetation index (EVI2) and the normalized difference vegetation index (NDVI), were tested as indicators of both fraction of absorbed photosynthetic active radiation (fAPAR) and light use efficiency (LUE). The standard MODIS GPP product was moderately correlated with flux-measured GPP as indicated by the coefficients of determination (R2) of 0.56 and a root mean square error (RMSE) of 15.4gCm28d1. In comparison, results suggested that the VI model can provide improved estimates of GPP, with R2 of 0.80, 0.82, and 0.81 for EVI2×EVI2× photosynthetically active radiation (PAR), NDVI×EVI2×PAR, and NDVI×NDVI×PAR, respectively. The underlying reason was that both EVI2 and NDVI were potential proxies of fAPAR (R2 of 0.43 and 0.53, respectively) and LUE (R2 of 0.52 and 0.46, respectively). The primary analysis will be helpful for spatial improvements of future GPP models.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Chaoyang Wu
"Use of a vegetation index model to estimate gross primary production in open grassland", J. Appl. Remote Sens. 6(1), 063532 (May 21, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063532


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