Carbon partitioning as validation methods for crop yield and CO2 sequestration monitoring in Asia using a photosynthetic-sterility model

Daijiro Kaneko; Peng Yang; Toshiro Kumakura

doi:10.1117/12.864887

22 October 2010 Carbon partitioning as validation methods for crop yields and CO₂ sequestration monitoring in Asia using a photosynthetic-sterility model

Daijiro Kaneko, Peng Yang, Toshiro Kumakura

Author Affiliations +

Proceedings Volume 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII; 78240A (2010) https://doi.org/10.1117/12.864887
Event: SPIE Remote Sensing, 2010, Toulouse, France

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.

Citation Download Citation

Daijiro Kaneko, Peng Yang, and Toshiro Kumakura "Carbon partitioning as validation methods for crop yields and CO₂ sequestration monitoring in Asia using a photosynthetic-sterility model", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78240A (22 October 2010); https://doi.org/10.1117/12.864887

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available