首页> 外文会议>SPIE Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrolog >Strategic system development toward biofuel, desertification and crop production monitoring in continental scales using satellite-based photosynthesis models
【24h】

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型模型的大陆尺度的生物燃料,荒漠化和作物生产监测的战略制度发展

获取原文

摘要

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:提交人认为基本根函数是植被的支持光合作用,并影响环境问题,粮食生产和荒漠化。本文通过逐步接近既定的运营监测,介绍了对环境项目和作物生产的监测和近实时预测的现状。作者一直在开发主题监控结构(命名为RSEM系统),该结构在几大大陆的基于卫星的光合作型模型中,用于在上述环境领域的运营支持。验证方法不在FluxNet上,但在碳分区验证(CPV)上。模型要求继续参数化。整个帧系统已经使用再分析气象数据构建,但除了水稻之外,模型精度仍然不足。作者应完成融入全球环境力量的系统。关于作物生产应用,经济发行国家通过直接投资实现的发展中国家的工业化提高了他们的收入,导致粮食需求增加。去年,中国开始进口米饭,因为它过去的玉米,小麦和大豆谷物。重要的农业潜在国家努力在南美洲,非洲和东欧培养新作物土地。粮食可持续性和稳定性较少的趋势正在继续,通过快速的社会和气候变化加剧。草本和钻孔植物的碳封存的操作监测与生物能量,作物生产监测和社会环境项目等努力汇聚,如CDM A / R,防治荒漠化和生物多样性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号