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A prototype of Land Information Sensor Web (LISW)

机译:土地信息传感器网络(LISW)的原型

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To meet future earth system science challenges, NASA will develop constellations of smart satellites in sensor web configurations that provide timely on-demand data and analysis to users, and that be reconfigured based on the changing needs of science and available technology. Sensor webs can eclipse the value of disparate sensor components by reducing response time and increasing scientific value, especially when integrated with science analysis, data assimilation, prediction modeling and decision support tools. The prototype Land Information Sensor Web (LISW) is a project sponsored by NASA, trying to integrate the Land Information System (LIS) in a sensor web framework which allows for optimal 2-way information flow that enhances land surface modeling using sensor web observations, and in turn allows sensor web reconfiguration to minimize overall system uncertainty. This prototype is based on a simulated interactive sensor web, which is then used to exercise and optimize the sensor web - modeling interfaces. These synthetic experiments provide a controlled environment in which to examine the end-to-end performance of the prototype, the impact of various design sensor web design trade-offs and the eventual value of sensor webs for particular prediction or decision support. The Study of virtual Land Information Sensor Web (LISW) is expected to provide some necessary priori knowledge for designing and deploying the next generation Global Earth Observing System of systems (GEOSS). In this paper, the progress of the LISW study will be presented, especially in scenario experiment design, sensor web framework and uncertainties in current land surface modeling.
机译:为了应对未来地球系统科学的挑战,NASA将开发传感器网络配置中的智能卫星星座,这些星座可为用户提供及时的按需数据和分析,并可根据不断变化的科学和可用技术需求进行重新配置。传感器网可以缩短响应时间并提高科学价值,从而使不同传感器组件的价值黯然失色,尤其是与科学分析,数据同化,预测建模和决策支持工具集成在一起时。土地信息传感器网络(LISW)的原型是由NASA赞助的一个项目,旨在将土地信息系统(LIS)集成到传感器网络框架中,以实现最佳的双向信息流,从而通过传感器网络观测来增强地表建模,进而允许重新配置传感器卷筒,以最大程度地降低整个系统的不确定性。该原型基于模拟的交互式传感器网络,然后用于练习和优化传感器网络-建模界面。这些综合实验提供了一个可控的环境,可在其中检查原型的端到端性能,各种设计传感器网络设计权衡的影响以及传感器网络对于特定预测或决策支持的最终价值。虚拟土地信息传感器网络(LISW)的研究有望为设计和部署下一代全球地球观测系统系统(GEOSS)提供一些必要的先验知识。在本文中,将介绍LISW研究的进展,尤其是在情景实验设计,传感器网络框架以及当前陆地表面建模的不确定性方面。

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