Nex-G Innovations

Nex-G Innovations

Trending | All

Trending | All

Nex-G Innovations

LIDAR TRAINING

LiDAR is an emerging and being employed extensively for mapping urban areas, rapid surveys, building 3D city models, monitoring infrastructure projects, mining etc. Skilled map power is play vital role in projects implementation. This training is focused on fundamentals concepts of LiDAR technologies along with hand on exercise on software tools. This includes Principles, Laser physics, Operation, Data formats, Modern trends, Applications, Error analysis, Data processing-concepts and issues, Information extraction, feature extraction, Integration with spectral data, 3D city model generation. Practical assignment covers data format conversion, visualisation, accuracies and error analysis, DEM generation, contour generation, feature extraction like building, powerline and trees, Integration of LiDAR and aerial photograph.


Code: NES_SK_2300

Duration: 40 Hrs / 4 Weeks / Customized

Mode: Online / Offline / Onsite

+91-8826900551

Module 1 - TRAINING MODULES

  • Introduction to LiDAR
  • Select different types of elevation data for specific application
  • LiDAR data collection methods
  • LiDAR data Characteristics
  • Distinguish between different LiDAR product
  • Recognize data quality that impact data usability
  • Identify the feature information from LiDAR data
  • Use feature interpretation and extraction technics
  • Understand common problems in macro filtered ground, restoration methods, Noise removal methods, Usages of macros for ground editing
  • Classify LiDAR data as per the ASPRS standards
  • Identify, Classify and extraction feature like building, power-line, trees, water bodies, vegetation classification, bridge, culvert etc
  • Create the surface model and edit the surface
  • Create digital elevation, digital terrain models
  • Sample Project

Module 2 - Training Pre-requisite

  • Basic Knowledge of Microstation
  • Fundamental concepts of remote sensing and land Survey
  • Knowledge on Geospatial data formats
  • Knowledge of Geospatial data accuracy
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