LiDAR (Light Detection and Ranging) is method of remote sensing which uses light in the form of laser pulses to measure the distance to the surface. Once emitted light beam reflects from the surface, the sensor measures the time and the amount of reflected light, and thus determines the distance to the object / surface. The data from LIDAR, combined with other data collected by photogrammetry, providing precise, three-dimensional information about the spatial entities and their characteristics, whether they are natural (surface terrain, vegetation) or artificial (buildings).
data collected by LiDAR, combined with color from aerial images
When the data from the sensors are combined with the position and orientation obtained with integrated GPS / IMU system as a result one has a large number of points with known coordinates (ie. point cloud) that make extremely high quality digital model of the surface. In addition, three-dimensional data collected can be used to create models of buildings, use in telecommunications, modeling the trees, etc.
In addition to imaging with "classic" aerial camera, MapSoft offers data collection by LiDAR system. In fact, the best possible interpretation of the collected spatial data is obtained by the simultaneous imaging of a classic camera and LIDAR, which is also offered by MapSoft. In this way, spatial data of high accuracy are collected: three-dimensional coordinates of each point from the cloud comes from LIDAR and colors from a imaging made by aerial camera.
LIDAR can collect high-resolution data (extremely large number of dots per square meter). Data collection is performed by full-waveform camera which is especially important when imaging areas under vegetation. The one ray of this camera has the possibility of penetrate a tree leaf and record not only the distance to it, but also to the surface of the field, which is located underneath. This gives a unique possibility to generate digital terrain model, surface model, to determine the amount of vegetation. Users can have a cloud of points, but also a variety of products that are made by automatic, semi-automatic or manual classification of these data.