Jack and Laura Dangermond Nature Preserve multiscale bird and bat monitoring data (radar and thermal imagery), July 21-25, 2025

The goal of this project is to develop, test, and validate an integrated, real-time, multi-scale system in which multiple sensors work together to improve bird and bat monitoring capacity and understanding of bird and bat interactions with floating offshore wind (FOSW) technologies and provide data to better estimate relative risk of bird and bat strike with FOSW projects. This field data was collected to test and validate a system that integrates radar and stereo thermal camera operations, system functionality, and data output to advance capabilities of each sensor and leverage a combined dataset collected over multiple spatial scales. Specific objectives were to: (1) Develop methodology for collection and synchronization of multiple real-time sensor data sources to address data needs, (2) Determine optimal use modes of each sensor (radar and thermal imagers) as an integrated system, (3) Define dataflow (e.g., cloud-based or onboard processing and interpretation or combination of both) and data processing and analysis methods, and (4) Evaluate advantages and limitations of integrated radar and thermal imaging data as inputs to bird and bat collision risk models as well as for FOSW technology environmental and operational monitoring.

本项目旨在开发、测试并验证一套集成化、实时多尺度系统，该系统可协同多类传感器开展工作，以提升鸟类与蝙蝠的监测能力，深化对鸟类、蝙蝠与漂浮式海上风电（Floating Offshore Wind, FOSW）技术相互作用的认知，并提供数据以更精准地评估漂浮式海上风电项目中鸟类与蝙蝠受撞击的相对风险。本次野外数据采集工作，旨在测试并验证一套集成雷达与立体热成像相机运行、系统功能及数据输出的系统，以提升单类传感器的性能表现，并利用多空间尺度下采集的联合数据集。具体研究目标如下：（1）开发多类实时传感器数据源的采集与同步方法，以匹配相关数据需求；（2）确定雷达与热成像仪作为集成系统的最优使用模式；（3）明确数据流（例如基于云端、机载处理与解析，或二者结合的模式）及数据处理分析方法；（4）评估集成雷达与热成像数据作为鸟类与蝙蝠碰撞风险模型输入项，以及用于漂浮式海上风电技术环境与运行监测的优势与局限性。