EAGER: Developing and Integrating Advanced NEON AOP Data Products in the Yellowstone Ecosystem

摘要了解和减轻气候变化对美国生命系统的影响，需要科学家和自然资源管理人员了解跨多个时间和空间尺度的过程。新的遥感技术和多尺度研究方法正在同时提供厘米至公里尺度的相关数据。关键研究地点的历史数据允许分析第二至十年尺度的复杂数据。需要采取新的办法，使用方便用户的工具来探索这些数据，将这些数据联合收割机合并并转化为有用和易于理解的信息。 国家生态观测网（氖）正在开始向美国各地的关键地点提供地面和遥感数据，专门用于评估气候变化对生命系统的影响。EAGER建议的基本目标是利用氖提供的数据设计和开发先进的遥感数据产品，并使这些产品的应用更便于广大潜在的科学家和决策者。通过消除对原始遥感数据进行繁琐的初步处理和分析任务的需要，数据将可以获取并随时可用。这些先进的数据产品也将被证明是有用的和理解的非遥感科学家，这将增加他们的利用和应用氖？的巨大挑战。将组建一个由经验丰富的生态学家组成的团队，他们了解数据需求和关键应用程序，以设计和选择这些最终的数据产品。案例研究，使用氖的机载观测平台和AOP类数据结合黄石国家公园的北方范围内现有的遥感数据的时间序列，将进行演示这些数据产品的生态分析，建模和生态预测的关键研究问题的实用性。

Abstract Understanding and mitigating the effects of climate change on living systems in the US requires scientists and natural resource managers be informed about processes operating across multiple time and space scales. New remote sensing technologies and multi-scale research approaches are providing relevant data simultaneously at the centimeter to kilometer scale. Historic data at key research sites allow for analyses of complex data on the second to decadal scales. New approaches are needed to combine and transform these data into useful and easy to understand information using user-friendly tools to explore the data. The National Ecological Observatory Network (NEON) is beginning to deliver ground based and remotely sensed data at key locations throughout the US specifically designed to evaluate the effects of climate change on living systems. The basic goal of this EAGER proposal is to design and develop advanced remote sensing data products from data that will be available from NEON and make their application easier for a wide range of potential scientists and decision-makers. Data will be accessible and ready-for-use by removing the need to perform tedious preliminary processing and analysis tasks of raw remote-sensing data. These advanced data products will also prove useful and understandable to non-remote sensing scientists, which will increase their utilization and applications to NEON?s grand challenges. A team of experienced ecologists who are aware of data needs and key applications will be assembled to design and select these final data products. Case studies, using NEON's Airborne Observatory Platform and AOP-like data in combination with a time series of existing remote-sensing data in Yellowstone National Park's Northern Range, will be conducted to demonstrate the utility of these data products for ecological analyses, modeling and key research questions regarding ecological forecasting.