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Strategic system development toward biofuel, desertification and crop production monitoring in continental scales using satellite-based photosynthesis models

机译:使用基于卫星的光合作用模型向大陆规模的生物燃料,荒漠化和作物生产监测的战略系统开发

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The author regards fundamental root functions as underpinning photosynthesis activities by vegetation and as affecting environmental issues, grain production, and desertification. This paper describes the present development of monitoring and near real-time forecasting of environmental projects and crop production by approaching established operational monitoring step-by-step. The author has been developing a thematic monitoring structure (named RSEM system) which stands on satellite-based photosynthesis models over several continents for operational supports in environmental fields mentioned above. Validation methods stand not on FLUXNET but on carbon partitioning validation (CPV). The models demand continuing parameterization. The entire frame system has been built using Reanalysis meteorological data, but model accuracy remains insufficient except for that of paddy rice. The author shall accomplish the system that incorporates global environmental forces. Regarding crop production applications, industrialization in developing countries achieved through direct investment by economically developed nations raises their income, resulting in increased food demand. Last year, China began to import rice as it had in the past with grains of maize, wheat, and soybeans. Important agro-potential countries make efforts to cultivate new crop lands in South America, Africa, and Eastern Europe. Trends toward less food sustainability and stability are continuing, with exacerbation by rapid social and climate changes. Operational monitoring of carbon sequestration by herbaceous and bore plants converges with efforts at bio-energy, crop production monitoring, and socio-environmental projects such as CDM A/R, combating desertification, and bio-diversity.
机译:作者认为基本的根部功能是植被光合作用的基础,并影响环境,粮食生产和荒漠化。本文通过逐步建立已建立的运行监控来描述环境项目和作物生产的监控和近实时预测的发展。作者已经开发了一个主题监视结构(称为RSEM系统),该结构位于几大洲的基于卫星的光合作用模型上,可以为上述环境领域提供操作支持。验证方法不基于FLUXNET,而是基于碳分配验证(CPV)。这些模型要求持续进行参数化。整个框架系统是使用Reanalysis气象数据构建的,但是除水稻以外,模型的准确性仍然不足。作者应完成整合全球环境力量的系统。关于作物生产的应用,经济发达国家通过直接投资实现的发展中国家工业化增加了收入,导致粮食需求增加。去年,中国开始进口玉米,小麦和大豆等大米。重要的农业潜力国家努力在南美,非洲和东欧耕种新的耕地。持续的社会和气候变化加剧了食品可持续性和稳定性降低的趋势。草本植物和无性植物对碳固存的运行监控在生物能源,作物生产监控以及CDM A / R等社会环境项目,防治荒漠化和生物多样性等方面的努力相结合。

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