System development for grain yields and desertification along with carbon sequestration in Asia using photosynthesis model

最近对粮食短缺的关切促使开发了目前题为“遥感环境监测”的系统。该系统旨在根据亚洲新兴国家气候变化和经济增长的背景，处理植被、粮食生产、欧亚草原沙漠化和清洁发展机制造林/再造林的碳封存。该系统包括一个基于两个东亚国家农田精确土地利用和覆盖（LULC）分类的光合不育作物产量模型。该系统还结合MODIS数据分类的土地覆盖分布、SPOT植被NDVI数据和美国NCEP气象再分析数据，提供了亚洲地区CO_2固定PSN的日分布。验证概念是基于谷物中的碳水合物与谷物植被中的纤维素具有相同的化学式。利用碳分配验证（CPV）方法对日本和中国特定水稻品种的光合作用和不育模型进行了校准。然而，需要更多的作物产量数据来验证冬小麦和玉米模型。稻田平均CO_2和固碳率为25。92（t CO_2/ha）和5。28（t C/公顷）。

The recent concern about food scarcity motivates the development of the present system entitled "Remote Sensing Environmental Monitor(RSEM)". The system is designed 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 system includes a photosynthetic sterility crop yield model based on precise land use and cover(LULC) classification of crop field in two eastern Asian countries. This system also provides daily distributions of the PSN, which is the CO_2 fixation in Asian areas combined with the land-cover distribution classified from MODIS data, NDVI from SPOT VEGETATION, and meteorological re-analysis data by NCEP, U. S. A. The validation concept is based on the fact that the carbon hydrate in grains has the same chemical formula as cellulose in grain vegetation. The both photosynthesis and sterility models are calibrated by Carbon Partitioning Validation(CPV) method associated with particular rice species in Japan and China. However, more crop yield data are needed for validation of winter wheat and maize models. 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.