Utility and Infrastructure Mapping
Public infrastructural assets and utilities throughout the world are facing unprecedented change. Better use of spatial data in managing these assets such as powerline, railways, roads and utilities such as electric, water, sewer systems etc. is one of the key areas of focus for many government bodies as well private shareholders. Improved hardware, software, and networking technology have created opportunities for these industries to build and benefit from more comprehensive and sophisticated GIS.
Our utility and infrastructure mapping experts provide extensive services to our global clients across the spectrum from the field.
Infrastructural Asset capture and mapping from point clouds and georeferenced videos All kinds of city assets such as road pavements and markings Buildings, Trees, Traffic signs/signals, street furniture, and many more
60,000 +kms of Highway and city assets inventory for major cities of Germany, UK, the USA from georeferenced videos
50,000+ km every year of Electric Power lines(All Voltage) & Structure Lidar classification and mapping
20,000+ kms of Assets capturing from MLS point cloud, using our in-house application 3dy
Digitizing Utility Network models
Our team of experts has substantial experience using as-built drawings or existing system maps to develop an extensive inventory network of utility assets such as water, sewer, electric, and stormwater infrastructure.
Highway Assets/ Features extraction from more than 60,000 KM of road network
Yearly Road Conditioning and Asset Capturing
Mobile Mapping on geo-ref. videos
Stormwatr network model for a city in Maryland, USA., from as-builts.
Stormwater Network Model from as builds
Stormwater Network Model
Classification and vectorization of rail tracks and overhanging wires
Railway Corridor LiDAR Classification
Railway Classification & mapping
The project area of 1200 linear kms, to be completed within 4 months. A team of 30 Mobile Mapping experts working round the clock to ensure delivery of accurate, uniform and complete data. Project estimated more than 25,000 man hours.