Nationwide Remote Sensing Engineering Services

Excellence in Geotechnical Forensic Analysis and Modeling

LiDAR High Definition Surface Modeling and Unmanned Aerial Systems (UAS) for Remote Sensing

We explain this as the art and science of obtaining specific information about an object, area, or phenomenon under investigation through the analysis of data acquired by using state of the art tools from a distance. Through the collection, analysis, and application of remotely sensed data, Bryant Consultants embarks upon a relentless inquiry into the best possible way to create the new, discover the unexplored, and achieve the functional.

At Bryant Consultants we utilize remote sensing mainly for gathering elevation data and aerial images. We believe the benefit over traditional surveying methods is that we can offer our clients an extremely high-resolution dataset in a fraction of the time.

We offer our clients a full data acquisition service, which can include customized data collection. Our experienced team will assess the data requirements of your project and select the appropriate sensors, resolution and images for the best ultimate outcome.

High-Resolution Surface Modeling and Aerial Photogrammetry Uses

The two principal methods we utilize for our Remote Sensing projects are LiDAR scanning from a tripod system and from UAS, for gathering data within a very large area of focus.

  • LiDAR scanning is used to trace a narrow laser beam across a regular grid of sample points and measure the arrival time of reflected light for each sample point. Based on this time and the constant speed of light, the scanner can report the 3D positions of surface points lying inside a pyramidal region of space. LiDAR’s main benefits are accuracy of each sample point, and speed, i.e., the number of sample points that can be measured in a given time period.
  • Unmanned Aerial Systems (UAS) is used for aerial remote sensing and mapping. This form of remote sensing allows for acquiring very high resolution remotely sensed data that can reflect changes in landscape processes and dynamics at very high resolutions.