CUSTOMIZED + COST EFFECTIVE HIGH RESOLUTION DATA-SETS
We explain remote sensing 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. 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.
LiDAR HIGH DEFINITION SURFACE MODELING + DRONE SURVEYS (UAS)
The two principal methods we utilize for our remote sensing projects are LiDAR scanning from a tripod system and from drones (UAS) for gathering data within a very large area of focus. LiDAR’s main benefits are accuracy sample points and speed, i.e., the number of sample points that can be measured in a given time period. Unmanned Aerial Systems (UAS/drones) are 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, as well as access to typically inaccessible areas.
We have our own, certified UAS/drone pilots, and we regularly customize drones in-house to meet the needs of each unique project. Remote sensing is an integral part of GIS input for our engineering projects, providing elevation data and aerial images, and importantly, our remote sensing capabilities allow us to undertake highly specialized mapping and modeling projects, such as watershed and nationwide infrastructure mapping.
Stationary LiDAR scanning is used as part of our structural engineering capabilities to create highly accurate 3D models of structures.
We use several techniques to gather remotely sensed data, such as:
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