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

理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者了解跨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到公里尺度的相关数据。关键研究地点的历史数据允许对第二到十年尺度的复杂数据进行分析。需要使用用户友好的工具来探索数据，将这些数据组合并转换为有用且易于理解的信息。美国国家生态观测站网络（NEON）开始在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。这项EAGER提案的基本目标是根据NEON提供的数据设计和开发先进的遥感数据产品，并使其更容易为广泛的潜在科学家和决策者应用。由于不需要对原始遥感数据进行繁琐的初步处理和分析任务，数据将可以获取和随时使用。这些先进的数据产品对非遥感科学家来说也很有用和容易理解，这将增加它们在NEON上的利用和应用。这是一个巨大的挑战。一个了解数据需求和关键应用的经验丰富的生态学家团队将被召集起来设计和选择这些最终的数据产品。利用NEON的机载观测平台和类似aop的数据，结合黄石国家公园北部山脉现有的遥感数据时间序列，将进行案例研究，以展示这些数据产品在生态分析、建模和生态预测方面的关键研究问题中的效用。

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.