Fusion of heterogeneous geosensing observations for enhanced site characterization

融合异质地理传感观测以增强场地特征

• 批准号: RGPIN-2020-03995
• 负责人: Fotopoulos, Georgia
• 金额: $ 2.26万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739611
• 关键词: Fusion; heterogeneous; geosensing; observations; enhanced

Site investigation is an essential element to numerous disciplines including surveying, geological, civil, environmental, and mining engineering, as well as archaeology and geophysics. Investment in a rigorous phased site investigation program has been demonstrated to significantly reduce engineering project cost over-runs and future spending during implementation and monitoring phases. A key element in the first phase is site characterization, which involves accurate topographic/morphological information (digital elevation models) and subsurface characterization (lithological/hydrological). These are critical parameters for estimating the type, location, and quantity of intrusive in situ data collection campaigns. The overall objective of this research program is to transform site characterization capabilities for surface and subsurface models at various spatial (macro, meso, micro) and temporal scales (episodic to several annum) via the fusion of state-of-the-art geosensing innovations. Geosensing refers to a technology-driven approach for surveying and mapping from satellite, airborne and terrestrial platforms and includes, but is not limited to, light detection and ranging (LiDAR), Global Navigation Satellite Systems, synthetic aperture radar, optical and hyperspectral imaging and space geodesy. Geodesy is often referred to as the invisible infrastructure because its fundamental principles are at work underlying a variety of observational networks providing a consistent framework for data integration over time and space for diverse disciplines. This research program seeks to challenge the status-quo by discovering opportunities for the innovative fusion of multi-platform, multi-scale observations using geodetic estimation theory and stochastic principles; examples include, (i) augmenting comprehension of geological relationships by integrating 3D laser scanned hand samples within a geospatial information system environment, (ii) mapping surface water via the fusion of synthetic aperture radar, optical imagery and airborne LiDAR, (iii) assessing uncertainty models for satellite gravity observations in a modernized height system and (iv) integrating unmanned vehicle payload solutions into site characterization. HQP will gain advanced skills to excel in a world that demands a high-level of geospatial intelligence for applications in infrastructure, resource and mineral exploration, hazard assessment and environmental monitoring, to name a few. This research program will ensure that Canada remains at the forefront of geomatics engineering by providing innovative, technically sound and high-level uncertainty information for fused solutions leading to rigorous site characterizations, which will improve our policies as we move towards sustainable developments and transition from the information age to the knowledge age in the future.

现场调查是许多学科的重要组成部分，包括测量，地质，土木，环境和采矿工程，以及考古学和地球物理学。投资于严格的分阶段现场调查计划已被证明可以显着减少工程项目成本超支和未来在实施和监测阶段的支出。第一阶段的一个关键要素是确定场地特征，其中涉及准确的地形/地貌信息（数字高程模型）和地下特征（岩性/水文）。这些是估计侵入性原位数据收集活动的类型、位置和数量的关键参数。该研究计划的总体目标是通过融合最先进的地理传感创新，在各种空间（宏观，中观，微观）和时间尺度（情节到几年）转换地表和地下模型的场地表征能力。地球遥感是指从卫星、空中和地面平台进行勘测和绘图的技术驱动方法，包括但不限于光探测和测距、全球导航卫星系统、合成孔径雷达、光学和超光谱成像以及空间大地测量。大地测量学通常被称为无形的基础设施，因为它的基本原则是在各种观测网络的基础上工作的，为不同学科的时间和空间数据集成提供了一致的框架。该研究方案旨在挑战现状，利用大地测量估计理论和随机原理，发现多平台、多尺度观测创新融合的机会;例子包括，（i）通过在地理空间信息系统环境中集成3D激光扫描的手样本来增强对地质关系的理解，（ii）通过合成孔径雷达的融合来绘制地表水，光学成像和机载激光雷达，（iii）评估现代化高度系统中卫星重力观测的不确定性模型，以及（iv）将无人驾驶飞行器有效载荷解决方案纳入场地表征。HQP将获得先进的技能，在需要高水平地理空间智能的世界中脱颖而出，用于基础设施，资源和矿产勘探，危险评估和环境监测等应用。这项研究计划将确保加拿大保持在地球信息工程的最前沿，为融合解决方案提供创新的，技术上合理的和高水平的不确定性信息，从而实现严格的场地特征，这将改善我们的政策，因为我们走向可持续发展和从信息时代过渡到知识时代的未来。