Project – Advance Lidar Classification.
Data Type – Lidar Aerial.
Area – 200 Sqkms.
Scope – Classification of these classes – Default- Unclassified, Ground, Low Point, Vegetation, Building & Roadwork.
Project – Advance Lidar Classification.
Data Type – Lidar Aerial.
Area – 200 Sqkms.
Scope – Classification of these classes – Default- Unclassified, Ground, Low Point, Vegetation, Building & Roadwork.
Project – Lidar Classification.
Data Type – Lidar Mobile.
Area – 850 L.Sqkms.
Scope – To classify in the corrected class each object according to the specs indicated into corridor 60 m -30 meters each side of the line. To draw the real trace using LiDAR data and set the name of each tower setting the label with snapping to the vertex of each tower. Classification of these classes -Terrain, Vegetation, Transmission Lines, Other.
Project – Aerial Triangulation, DTM & Orthophoto.
Data Type – Digital Images, Camera Calibration, Orthophotos GSD.
Area –260 Sqkms.
Scope –Scope of this project is to execute Aerial Triangulation, DTM, Digitization of all Planimetry features and 5cm Orthophoto.
Project – DTM, DSM, Contour
Data Type – Drone Data
Area – 125 Sqkms.
Scope –Processing of Raw data, Developing DTM, DSM and Contour
Project – Digitization
Data Type – Satellite Images
Area – 430 Sqkms.
Scope –Scope of this project is to digitize the regular buildings using provided Satellite Images.
Project – 3D Modelling
Data Type – Satellite Images
Area – 150 Sqkms.
Scope –Scope of this project is to digitize Buildings in 3D using provided Satellite Images.
Project – Advance Vectorization.
Data Type – Intensity file, Point Cloud & Orthophotos
Area – 350 Sqkms.
Scope – Cadastral Mapping updating vectorization data.
Project – Land Cover classification and Vectorization.
Data Type – Orthophotos.
Area – 600 Sqkms.
Scope – Classification based on Corine Land Cover standard covering all level 3.
Project – Bathymetry.
Area – 138 Sqkms.
Scope – Classification of these classes –Untitled, Default-Unclassified, Ground, Non-Ground-low, Non-Ground-medium, Underwater, Low-Points, Seabed, Water, Underwater vegetation, Water error, Error.
Project – Powerline Lidar Classification.
Data Type – Lidar Aerial Drone.
Area – 2000 Kms.
Scope –Classification of Ground Point and Non-Ground, Transmission line, 3D wire data generation based on Point Cloud, Catenary Adjustment.