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Proceedings Paper

An improvement of satellite-based algorithm for gross primary production estimation optimized over Korea
Author(s): Kyoung-Jin Pi; Kyung-Soo Han; In-Hwan Kim; Sang-Il Kim; Min-Ji Lee
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Paper Abstract

Monitoring the global gross primary production (GPP) is relevant to understanding the global carbon cycle and evaluating the effects of interannual climate variation on food and fiber production. GPP, the flux of carbon into ecosystems via photosynthetic assimilation, is an important variable in the global carbon cycle and a key process in land surface-atmosphere interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) is one of the primary global monitoring sensors. MODIS GPP has some of the problems that have been proven in several studies. Therefore this study was to solve the regional mismatch that occurs when using the MODIS GPP global product over Korea. To solve this problem, we estimated each of the GPP component variables separately to improve the GPP estimates. We compared our GPP estimates with validation GPP data to assess their accuracy. For all sites, the correlation was close with high significance (R2 = 0.8164, RMSE = 0.6126 g·C·m-2·d-1, bias = -0.0271 g·C·m-2·d-1). We also compared our results to those of other models. The component variables tended to be either over- or under-estimated when compared to those in other studies over the Korean peninsula, although the estimated GPP was better. The results of this study will likely improve carbon cycle modeling by capturing finer patterns with an integrated method of remote sensing. Keywords: VEGETATION, Gross Primary Production, MODIS.

Paper Details

Date Published: 7 October 2011
PDF: 6 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81741F (7 October 2011); doi: 10.1117/12.898061
Show Author Affiliations
Kyoung-Jin Pi, Pukyong National Univ. (Korea, Republic of)
Kyung-Soo Han, Pukyong National Univ. (Korea, Republic of)
In-Hwan Kim, Pukyong National Univ. (Korea, Republic of)
Sang-Il Kim, Pukyong National Univ. (Korea, Republic of)
Min-Ji Lee, Pukyong National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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