Workshops-NEON: Training in Scientific Discoveries with NEON's AOP; Boise State University; Spring, 2016 - Early - 2017

研讨会-NEON：使用 NEON 的 AOP 进行科学发现培训；

• 批准号: 1550916
• 负责人: Nancy Glenn
• 金额: $ 10万
• 依托单位: Boise State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-12-01 至 2019-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1550916&HistoricalAwards=false
• 关键词: Workshops; NEON; Training; Scientific; Discoveries

A series of three hands-on workshops will be organized to foster and coordinate research that blends data from the Airborne Observing Platform (AOP) of the new NSF National Ecological Observatory Network (NEON) and associated ground data from local field sites. The workshops will focus on remote sensing principles, development of remote sensing data products, and field data integration and validation to address specific research questions in the biophysical sciences with NEON data. Experts in the focus areas and in conducting hands-on training will lead the workshops. NEON data will be used for the workshops and tutorials will be made available to NEON to post online. The workshops are designed to reach approximately 75 in-person participants each, along with hundreds of scientists via dissemination of the training materials online. Organizers will encourage attendance of underrepresented minorities, women, and persons with disabilities and early career participants. This training will assist with future collaborations and coordination among researchers and prepare scientists with the skills to help describe changes in U.S. ecosystems across a wide range of space and time. Three themes will guide the three workshops: LiDAR processing and analysis, hyper spectral processing and analysis, and the use of remotely sensed data products for ecosystem modeling. The workshops will bring together biophysical scientists and experts in remote sensing and ecosystem modeling that will encourage development of a range of scaled data products to enable NEON-based research questions and for use by the broader scientific community.

将组织一系列的三个实践讲习班，以促进和协调研究，将来自新的NSF国家生态观测网（氖）的空中观测平台（AOP）的数据和来自当地实地的相关地面数据相结合。讲习班将侧重于遥感原则、遥感数据产品的开发以及实地数据的综合和验证，以解决利用氖光数据进行生物物理科学研究的具体问题。各重点领域的专家和进行实际操作培训的专家将主持讲习班。氖数据将用于研讨会，并将提供给氖在线发布教程。这些讲习班旨在通过在线传播培训材料，使每个讲习班有大约75名亲自参加者以及沿着数百名科学家参加。组织者将鼓励代表性不足的少数民族、妇女、残疾人和早期职业参与者参加。这项培训将有助于研究人员之间未来的合作和协调，并使科学家具备帮助描述美国生态系统在广泛的空间和时间范围内变化的技能。三个专题将指导三个讲习班：激光雷达处理和分析、超光谱处理和分析以及遥感数据产品用于生态系统建模。这些讲习班将汇集生物物理科学家和遥感和生态系统建模专家，鼓励开发一系列按比例缩放的数据产品，以解决基于近地天体的研究问题，供更广泛的科学界使用。