VeriDaaS’s high-resolution Geiger-mode LiDAR data can be used effectively in energy infrastructure design, permitting, construction, and monitoring to realize cost efficiencies as well as to promote public safety through the reduction of risks. Our data allows users to identify safe locations for energy infrastructure by analyzing terrain parameters and identifying and evaluating geologic hazards such as landslide and fault locations.

The U.S. Geological Survey (USGS) points out that, “increasingly, engineering companies and regulatory agencies are using LiDAR Technology  and other remote sensing techniques as an efficient method to collect accurate, comprehensive data while reducing risks to field personnel.

Through our deep analytics and remote-sensing experience, VeriDaaS is setting a new standard in LiDAR image science, providing mission-critical insights faster and more cost-effectively than traditional methods.

Geography is at the heart of everything oil & gas companies do. Geospatial data provides the insights they need to gain efficiencies and reduce risk throughout all stages of exploration and production. Precise and reliable geospatial data is essential in locating and extracting new resources. It supplies deeper insight into relationships and patterns, helping companies to make informed decisions in exploration and opportunity analysis. During production stages, it provides a clearer picture of assets in service, allowing companies to better manage industrial facilities, plan optimal pipeline routes, and generally to improve health, safety and environmental compliance.

Our best-in-class Geiger Mode LiDAR point-cloud density is perfect for gaining a clear picture of assets in service or proactively monitoring the environment for oil spills.

LiDAR is a cost-effective and accurate method of capturing improved data critical for the planning, design and construction of large-scale terrestrial wind farms, as well as for the maintenance of offshore wind turbines. It reduces survey costs, time, and safety risks, as it eliminates the need for engineers to climb turbines to conduct inspections.

On land, Accurate, high-density LiDAR data can be used to assess the suitability of terrain for wind farms. It can indicate the consistency and stability of the substrate and help to identify the possible presence of subsurface geological spaces or water flows not shown on ordnance survey mapping that could impair the placement of wind turbines or potentially cause their future collapse.
Aerial LiDAR surveys are more cost-effective and time-efficient than traditional land-based surveying methods, which are very labor intensive and time consuming. This is especially true when wind farms are being situated in hostile environments such as hilltops, moorlands, remote valleys, cliffs and tidal areas.

LiDAR data can be used in cities to assess the aggregate rooftop potential for solar panel deployment. Municipalities use it to calculate reliable estimates of usable rooftop space and exposure where solar energy potential exists, especially atop residential and business structures in dense urban centers. It enables the rapid and accurate identification of areas receiving maximum incoming solar radiation, as well as the detection of obstructions that can block sunlight, such as roof hangings, turrets, small dormers, vents, air-conditioning facilities, antennas, chimneys or vegetation. It provides important 3D information about the segmentation and diversity of roof structures ( e.g., flat vs. complex), which is often difficult, if not impossible, to extract from aerial or satellite imagery alone.

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