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Proceedings Paper

Carbon partitioning as validation methods for crop yield and CO2 sequestration monitoring in Asia using a photosynthetic-sterility model
Author(s): Daijiro Kaneko; Peng Yang; Toshiro Kumakura
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Paper Abstract

Sustainability of world crop production and food security has become uncertain. The authors have developed an environmental research system called Remote Sensing Environmental Monitor (RSEM) for treating carbon sequestration by vegetation, grain production, desertification of Eurasian grassland, and CDM afforestation/ reforestation to a background of climate change and economic growth in rising Asian nations. The RSEM system involves vegetation photosynthesis and crop yield models for grains, including land-use classification, stomatal evaluation by surface energy fluxes, and daily monitoring for early warning. This paper presents a validation method for RSEM based on carbon partitioning in plants, focusing in particular on the effects of area sizes used in crop production statistics on carbon fixation and on sterility-based corrections to accumulated carbon sequestration values simulated using the RSEM photosynthesis model. The carbonhydrate in grains has the same chemical formula as cellulose in grain plants. The method proposed by partitioning the fixed carbon in harvested grains was used to investigate estimates of the amounts of carbon fixed, using the satellite-based RSEM model.

Paper Details

Date Published: 22 October 2010
PDF: 10 pages
Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78240A (22 October 2010); doi: 10.1117/12.864887
Show Author Affiliations
Daijiro Kaneko, Remote Sensing Environmental Monitor, Inc. (Japan)
Peng Yang, Chinese Academy of Agricultural Sciences (China)
Toshiro Kumakura, Nagaoka Univ. of Technology (Japan)

Published in SPIE Proceedings Vol. 7824:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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