LiDAR: Light Detection and Ranging

Light Detection and Ranging (LiDAR), also known as airborne laser mapping, is a fast-maturing technology that is being readily adopted within the mapping community. It is a highly-automated system combining GPS with an inertial navigation system and laser scanner. As a remote sensing tool, LiDAR is non-intrusive and can be operated in less than ideal weather conditions.

Aeroquest Optimal couples LiDAR technology with our medium and large format digital cameras. Our skilled aerial photographers, LiDAR data acquisition personnel and surveyors ensure that you receive the best possible mapping product available today.

Our strategic approach to collecting and using LiDAR data

Aeroquest Optimal success with LiDAR technology is due to our strategic approach on how we collect and use LiDAR data. It starts in how we acquire the LiDAR data and ends in the uniqueness in the LiDAR product we deliver to our customers.

From the data acquisition phase, Aeroquest Optimal approach is centered on the ability to simultaneously acquire photo and LiDAR data with our custom-modified dual sensor aircraft platform.

Aeroquest Optimal: The trusted source for LiDAR

LiDAR is quickly becoming the preferred acquisition choice for elevation data as the quality and detail resulting from this technology far exceeds conventional methods.

Aeroquest Optimal is the trusted source for providing a LiDARgrammetry workflow. The LiDARgrammetry process requires no additional imagery, photo or otherwise, to create the final products. After initial calibration and classification of the LiDAR point cloud, stereo pairs are created utilizing the intensity values inherent with a LiDAR data set. During this process the intensity is blended with a color based upon the classification of the point, creating an RGB stereo pair.

Using the methods and techniques proven and accepted by the photogrammetry industry, features are then collected from the stereo pairs. These features may include breaklines or some planimetric mapping data. Using LiDARgrammetry, the Aeroquest Optimal team maintains high quality control and classifies the LiDAR data directly into GIS data warehouses. The use of synthetic LiDAR stereo imagery for feature collection and QC of the LiDAR data provides a cost-effective, accurate method for DTM and DSM development. The process of LiDARgrammetry, combined with the ability to collect LiDAR at night and in marginal weather conditions, enables Aeroquest Optimal to create imagery and terrain data at a reduced cost and timeframe.