Fusion of heterogeneous geosensing observations for enhanced site characterization

现场调查是许多学科的基本要素，包括测量学、地质学、土木工程、环境和采矿工程，以及考古学和地球物理学。在实施和监测阶段，对严格的分阶段现场勘察计划的投资已被证明可以显著减少工程项目成本超支和未来支出。第一阶段的一个关键要素是场地特征，这涉及到准确的地形/形态信息(数字高程模型)和地下特征(岩性/水文)。这些是估计侵入性现场数据收集活动的类型、位置和数量的关键参数。这项研究计划的总体目标是通过融合最先进的地球遥感创新，在不同的空间(宏观、中观、微观)和时间尺度(从事件到几年)改变地表和地下模型的场地表征能力。地球遥感是指从卫星、机载和地面平台进行测绘的一种技术驱动的方法，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、光学和高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，因为它的基本原理在各种观测网络的基础上发挥作用，为不同学科在时间和空间上的数据整合提供了一致的框架。这项研究计划试图通过利用大地测量理论和随机原理发现多平台、多尺度观测创新融合的机会来挑战现状；例如，(I)通过在地球空间信息系统环境中集成3D激光扫描的手部样本来增强对地质关系的理解，(Ii)通过融合合成孔径雷达、光学图像和机载激光雷达来绘制地表水图，(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整合到场地描述中。HQP将获得先进的技能，以在一个需要高水平地理空间智能的世界中脱颖而出，应用领域包括基础设施、资源和矿产勘探、风险评估和环境监测等。这项研究计划将确保加拿大保持在地球工程的前沿，为融合的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，从而导致严格的场地特征，这将在我们走向可持续发展和未来从信息时代过渡到知识时代的过程中改进我们的政策。

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.