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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Integration of Environmental Models in Spatial Data Infrastructures: A Use Case in Wildfire Risk Prediction
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Integration of Environmental Models in Spatial Data Infrastructures: A Use Case in Wildfire Risk Prediction

机译:在空间数据基础架构中整合环境模型:野火风险预测中的用例

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摘要

Achieving sustainable growth in our society implies monitoring our environment in order to measure human impact and detect relevant changes and detrimental driving factors such as wildfires and desertification. In order for experts to perform environmental modelling they need to be able to access data and models in an efficient and interoperable manner as well as share their findings to assist other professionals in decision making. In the current information society, distributed information systems are essential for sharing digital resources such as data and tools. Advances in Service-Oriented Architectures (SOA) allow for the distribution and accessibility of on-line resources such as data and tools, which served through standards-based services improve the sharing of data, models and models results.
机译:在我们的社会中实现可持续增长意味着监测我们的环境,以衡量对人类的影响并发现相关变化和有害驱动因素,例如野火和荒漠化。为了使专家能够执行环境建模,他们需要能够以有效且可互操作的方式访问数据和模型,并共享他们的发现以协助其他专业人员进行决策。在当前的信息社会中,分布式信息系统对于共享数据和工具等数字资源至关重要。面向服务的体系结构(SOA)的进步允许分布和访问在线资源(例如数据和工具),这些资源通过基于标准的服务提供服务,从而改善了数据,模型和模型结果的共享。

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