Data assimilation for crop yield and CO&lt;SUB align=right&gt;2 fixation monitoring in Asia by a photosynthetic sterility model using satellites and meteorological data

Kaneko, Daijiro; Kumakura, Toshiro; Yang, Peng

doi:10.1504/ijgw.2009.027088

Cited by 3 publications

(4 citation statements)

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“…Finally, the response function of the compounded temperature sterility effects due to both he following low and high temperatures in grain production is expressed by the following equation (Kaneko et al 2009(Kaneko et al , 2010:…”

Section: Methods For Monitoring Crop Production and Validationmentioning

confidence: 99%

“…(6) must be multiplied by the temperature sterility function F Ster . Integration of the photosynthesis rate over the interval from sowing t s to harvest t h defines the unit crop production index (CPI U ) as taking the following form (Kaneko et al 2009(Kaneko et al , 2010:…”

Section: Methods For Monitoring Crop Production and Validationmentioning

confidence: 99%

“…(11a) and (11b) using the curve of the relation between CSI and CPI in addition to the minimum CSE min and CYI min for base values of the lowest condition (Kaneko 2006a, b, c;Kaneko et al 2009). …”

Section: Methods For Monitoring Crop Production and Validationmentioning

confidence: 99%

“…Prices of grain doubled compared to those of the last decade and are showing instability because of global financial uncertainty. The proposed crop production index (CPI U ) takes the amount of growth as known, using the normalized difference vegetation index (NDVI), and estimates the instantaneous photosynthesis rate (PSN) as well as low temperature sterility and high temperature injury from the heading to the ripening stage (Kaneko et al 2003;Kaneko et al 2004a, b;Kaneko 2006aKaneko , b, c, 2007Kaneko et al 2009). …”

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confidence: 99%

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Validation of a Crop Yield and CO2 Fixation Model over Southeast Asia by Carbon Partitioning in Grain Plants

Kaneko

Yang

Kumakura

2011

J Indian Soc Remote Sens

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A photosynthetic-sterility model for grain production monitoring has been developed and validated under the background of climate change and Asian economic growth in developing countries. This paper presents an application of the model to evaluate carbon-fixation rates in yields of paddy rice, winter wheat, and maize in Asia. The validation of the model is based on carbon partitioning in grain plants. The carbon hydrate in grains has the same chemical formula as that of cellulose in grain vegetation. The partitioning of carbon in plants can validate fixation amounts of computed carbon using a satellite-based photosynthesis model. The model estimates the photosynthesis fixation of rice reasonably in Japan and China. Results were validated through examination of carbon in grains, but the model tends to underestimate results for winter wheat and maize. This study also provides daily distributions of the PSN, which is the CO 2 fixation in Asian areas combined with a land-cover distribution classified from MODIS data, NDVI from SPOT VEGETATION, and meteorological re-analysis data by European Centre for Medium-Range Forecasts (ECMWF). The mean CO 2 and carbon fixation rates in paddy areas were 25.92 (t CO 2 /ha) and 5.28 (t C/ha) in Japan, respectively. Comparisons between the model's values and MODIS seasonal PSNs show similar trends. The writers are preparing to compare computed photosynthesis rates with observed AsiaFlux data for the validation of this model at field sites of paddy, grassland and forests in Japan and Asian countries.

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Section: Methods For Monitoring Crop Production and Validationmentioning

confidence: 99%

Section: Methods For Monitoring Crop Production and Validationmentioning

confidence: 99%

Section: Methods For Monitoring Crop Production and Validationmentioning

confidence: 99%

mentioning

confidence: 99%

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