MRI-R2: Acquisition of Airborne Remote Sensing System for Oceanographic, Terrestrial, and Environmental Research

“该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。”PI？的请求资金的收购，集成和测试的机载遥感系统的组成部分，包括一个波形机载激光雷达，高光谱相机，高分辨率摄像机，GPS/惯性运动单元，数据采集和后处理硬件和软件，现有的红外摄像机，以及劳动力和用品，以集成和测试系统超过两年。卫星遥感通过其以不断提高的空间分辨率提供全球覆盖的能力，使海洋、地球、大气和环境科学取得了显着进展。然而，低地球轨道卫星的时间覆盖不是最佳的。这一时间范围对于时间尺度为一个月的中尺度海洋过程可能是足够的，但对于时间尺度为小时至天的响应大气强迫的海洋过程和其他次中尺度海洋过程，特别是沿海过程，包括物理和生物过程以及沿海区的海气陆相互作用，则是不够的。在水文科学中，时间尺度可以从山洪暴发的几个小时，到山脉降雪的几天，再到融雪进入河流系统的几个月。在更小的范围内，对建筑环境的遥感促进了对资源效率更高和可持续城市的研究，但需要几米的建筑解析热分辨率。对于这一系列现象，卫星数据非常有用，但不是最佳的，需要补充更高分辨率的机载数据，这些数据与卫星轨道的严格时间表无关。该建议满足了这些科学和工程领域的研究和培训需求。更广泛的影响该系统提供的数据应能很好地支持海岸过程和海洋学、生物、水文学和建筑区等所述研究领域。这些都与加州以及气候和环境变化方面的更大问题有关。激光雷达，视觉相机和高光谱成像的结合对于真正了解整个故事非常重要。除了该系统将实现的科学之外，这些数据集也将引起机器学习和机器人研究人员的巨大兴趣。外联和教育工作受益于现有的方案，而且似乎很强大。学生们会喜欢他们学校和社区的立交桥-这个简单的演示应该是一个高度优先考虑的。与COSEE CA的拟议合作应证明是富有成效的，并将提供激发新一代年轻科学家的机会。

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."The PI?s request funding for the acquisition, integration and testing of the components of an airborne remote sensing system comprised of a waveform airborne LIDAR, a hyperspectral camera, a high-resolution video camera, a GPS/inertial motion unit, data acquisition and post-processing hardware and software, an existing IR video camera, and the labor and supplies to integrate and test the system over two years. Satellite remote sensing has enabled remarkable progress in the ocean, earth, atmospheric and environmental sciences through its ability to provide global coverage with ever increasing spatial resolution. However, the temporal coverage of low earth orbiting satellites is not optimal. This temporal coverage may be sufficient for mesoscale ocean processes with time scales of a month, but is not sufficient for ocean processes that respond to atmospheric forcing with time scales of hours to days and other submesoscale ocean processes, especially coastal processes, both physical and biological, and air-sea-land interactions in the coastal zone. In the hydrological sciences the time scales can range from hours for flash floods, to days for snowfall on mountain ranges, to months for the snowmelt into the river systems. On an even smaller scale, remote sensing of the built environment catalyzes research into more resource-efficient and sustainable cities but requires building-resolving thermal resolution of a few meters. For this range of phenomena, satellite data are very useful but not optimal, and need to be supplemented with higher resolution airborne data that are not tied to the strict schedule of a satellite orbit. This proposal addresses these needs, in research and training in these areas of science and engineering.Broader ImpactsThe data provided by the system should well support the stated research areas of coastal process and oceanography, bio, hydrology, and built areas. These are all relevant to California and to larger issues in climate and environmental change. The combination of LIDAR, a visual camera, and hyperspectral imaging is important to really get the whole story. Aside from the science that this system will enable, the data sets will be of huge interest to machine learning and robotics researchers as well. Outreach and education efforts benefit from programs in place, and seem strong. Students will love the flyovers of their schools and neighborhoods - this simple demo should be a high priority. The proposed collaboration with COSEE CA should prove fruitful and will provide the opportunity to excite a new generation of young scientists.