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Development of rice photosynthesis model for monitoring yields and carbon sequestration using multi-satellite data

机译:利用多卫星数据开发用于监测产量和碳固存的水稻光合作用模型

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The forth IPCC report pointed out grain production as one of the highest vulnerability by which climate change is expected to impart the most severe effects. The recent concern about food scarcity motivates the development of the present system named Remote Sensing Environmental Monitor (RSEM) for crop yield monitoring. The authors have developed a photosynthesis model for rice production to address such issues. The system includes a photosynthetic sterility yield model using meteorological re-analysis data and precise land use and cover (LULC) classification of crop field in Asian countries. 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 validated by carbon partitioning method associated with particular rice species in Japan and China.
机译:政府间气候变化专门委员会第四次报告指出,谷物生产是气候变化将带来最严重影响的最高脆弱性之一。最近对食物短缺的关注促使开发用于作物产量监测的名为遥感环境监测器(RSEM)的本系统。作者开发了水稻生产的光合作用模型来解决此类问题。该系统包括使用气象再分析数据以及亚洲国家/地区的农作物田地的精确土地利用和覆盖(LULC)分类的光合不育产量模型。验证概念基于以下事实:谷物中的水合碳与谷物植被中的纤维素具有相同的化学式。光合作用和不育模型都通过与日本和中国的特定稻种相关的碳分配方法进行了验证。

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