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LiDAR.

LiDAR survey is a technology that uses laser pulse to hit the target and estimates the distance by calculating the time of the returning pulse. SSGIS LiDAR team has experienced professionals who can (Collect) and process the rich and dense point cloud data. We work with Aerial LiDAR (ALS), Mobile LiDAR (MLS) and Terrestrial LiDAR (TLS) data.
  • Point cloud classification
  • Terrain Modelling
  • Feature Extraction
  • 3D mapping
The Mobile LiDAR scanner collects data in the form of point cloud which is termed in .LAS format. Point clouds can be defined as the dense set of points obtained through laser scanners. These point clouds contains information about the Topography that is surveyed. The point clouds are textures as per the real world feature characteristics.
LiDAR data collected during surveying must be processed to use it for further feature extraction and analysis purpose. Dense point clouds reflected from the target forms the LiDAR data. The very first step is to register the point clouds in the real-world coordinates. This data shall help global firms in informed decision making.
SSGIS specialize in the pre-processing of MLS point cloud data. We provide the services of,
Bare Earth Classification
Advanced Classification
Feature classification
LiDAR is the best suited data collection option for extracting very precise and accurate terrain model data. The terrain models of the area are extracted from the processed point cloud data. Terrain models are created for infrastructure projects as a part of feasibility study. The break lines are drawn very clearly over the point cloud which results in deep terrain models with height information. Our team will prepare the following terrain models as per client’s specifications,
DEM (Digital Elevation Model)
DTM (Digital Terrain Model)
DSM (Digital Surface Model)
Contours
The LiDAR data is processed by doing classification of the LiDAR data. The point cloud classification involves, ground and non-ground classification and Advanced classification. The ground and non-ground points are classified as terrain and non-terrain features. The point clouds are classified as per client’s requirement.
The features on the earth surface are extracted as per the requirements of the project. Supervised and unsupervised classification is done for feature extraction. The following services will be provided,
Building Footprint extraction
Topography drawing
Vegetation feature extraction
Corridor Mapping
Asset feature extraction
The MLS collected point cloud data will contain accurate height information about the features that are scanned. 3D models are required for better analysis in case of planning and decision making. 3D models are generated from the point cloud data with the highest accuracy. 3D Models are used in,
Smart Cities,
Asset projects
DPR
As Built drawings
3D City Modelling