MRI: Acquisition of a laser scanning robotic total station with differential GPS capability

MRI：采购具有差分 GPS 功能的激光扫描机器人全站仪

• 批准号: 1828799
• 负责人: Ryan Perroy
• 金额: $ 13.59万
• 依托单位: University of Hawaii at Hilo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828799&HistoricalAwards=false
• 关键词: MRI; Acquisition; laser; scanning; robotic; MRI; Acquisition; laser; scanning; robotic

Hawaii is a world-class setting for exploring changes associated with lava flows, ecological invasions, landscape disturbance, and sea level rise, but local researchers often lack access to data of sufficient resolution and positional accuracy to quantify changes of interest. This Major Research Instrumentation (MRI) award will make the acquisition of a laser scanning robotic system with differential GPS capability possible. This system can collect dense three-dimensional environmental datasets with survey-grade positional accuracy to measure environmental processes and changes that cannot presently be detected. The system will improve the accuracy and performance of existing instrumentation, including small unmanned aerial systems, and will also allow a rapid response to record changes produced by episodic events like earthquakes, landslides, and tsunamis. This system will advance current knowledge in Hawaiian terrestrial ecology, geomorphology, marine science, geology, and anthropology, with direct impacts on research, education, and interdisciplinary collaborations.The acquisition of this laser scanning robotic total station system with differential GPS capability and computational will allow repeat collection and processing of precise and accurately geo-located fine-scale spatial data This instrument can generate dense (10^6+), survey-grade, three-dimensional point cloud measurements and imagery of the landscape with sub-centimeter accuracy. This degree of accuracy is required for detecting fine-scale changes relating to geomorphology, vegetation dynamics, volcanology, archaeology, and sea-level rise, and is well beyond current institutional capacity. This instrument will boost the sensitivity and overall utility of existing instrumentation for spatial data collection, including the use of small unmanned aerial systems for high resolution mapping. The equipment and resulting datasets will be housed and maintained by the University of Hawaii at Hilo and will be made available to researchers at this institution as well as to the broader research community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

夏威夷是一种世界一流的环境，用于探索与熔岩流，生态入侵，景观干扰和海平面上升相关的变化，但是当地的研究人员通常无法访问具有足够的分辨率和位置准确性的数据来​​量化关注变化的变化。这项主要的研究仪器（MRI）奖将使以不同的GPS能力获得激光扫描机器人系统。该系统可以以调查级的位置准确性收集密集的三维环境数据集，以衡量目前无法检测到的环境过程和变化。该系统将提高现有仪器的准确性和性能，包括小型无人空中系统，还可以快速响应地震，滑坡和海啸等情节事件所产生的记录变化。该系统将促进当前在夏威夷地面生态学，地貌，海洋科学，地质学和人类学方面的知识，并直接影响研究，教育和跨学科的合作。对这种激光扫描机器人扫描机器人总站系统具有不同的GPS能力和计算的启动，允许重复和准确的仪表型和准确的数据进行处理，可以重复收集和处理，并处理且固定的层次范围，并处理该层次的地理位置上的地理位置，并处理此范围。 （10^6+），测量级，三维点云测量和景观的图像，次级精度。检测与地貌，植被动力学，火山学，考古学和海平面上升有关的精细变化所需的准确性，并且远远超出了当前的机构能力。该仪器将提高现有仪器对空间数据收集的敏感性和总体效用，包括使用小型无人机进行高分辨率映射。夏威夷大学Hilo大学的设备和结果数据集将由该机构的研究人员以及更广泛的研究社区提供。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的审查标准来通过评估来通过评估来提供支持的。