GIS 3D Mobile Mapping


What Sets us apart:

MCS wants to develop long lasting relationship with its clients:  We help our clients come up with Best Practice solutions and written standards. We believe that our clients and implement our strategy into day-to-day business.

Ask us about the proven studies done in our field that show practical dollars saved for every dollar spent.

What we’re following:


NCHRP 15-44

MTLS For Highway Inventory

FHWA Initiatives


Sub-Surface Utility Engineering


MCS Follows The CADOT Standards and Best Practice Quality Control measures

Mobile Mapping and Sub-Surface Infrastructure:

Mobile Mapping via Lidar scanning and point cloud analysis is a great start or base for your GIS needs. Once the scan is done we extract the data sets you are looking for. For your sub-surface needs we will follow SUE stage standards as well CADOT standards which many government entities are following. Each Stage gives the owner a more reliable and accurate record of their Sub-Surface infrastructures and allows to guide its clients to a set of standards the best fits their budgetary needs. 

MCS’s geospatial division of professional staff can complete survey and mapping at a fraction of the time it takes doing it with traditional methods.

Our latest Mobile Mapping system maps in the 3D. We over come the challenges of mapping in the 3D by  utilizing a combination 3 technologies: a dual frequency GNSS receiver establishes a geospatial position; an Inertial Measurement Unit (IMU) provides vehicle attitude; and connection to the vehicle or external wheel encoders obtain odometry information. These three technologies work together to sustain a highly accurate 3D position for the vehicle even in locations where satellite signals can be blocked by obstructions such as buildings, trees and bridges.

The Standard Scanner which MCS uses is the IP-S2 system which includes one sensor head with 65 lasers oriented to cover roadside features up to 100m away. 6 High Resolution cameras providing 360 degree spherical imaging all sensor inputted and GEO referenced.