Advance Diploma in Geoinformatics

Job Oriented Course Classroom Online

Duration: 12 months

Course Overview

Diploma in Geoinformatics course is uniquely designed, consist of multi-disciplinary modules with project work. Covers all required skills for GIS, Remote Sensing, LiDAR, Photogrammetry and python scripting for automation in industry for various sectors. Multi-disciplinary helps participant to switch and retain jobs for better future prospective. Emphasis more on industry required skills hence strengthen job opportunities. These technologies are employed in project like DILRMP and NUIS.

A geographic information system (GIS) provides the ability to capture and analyze spatial and geographic data. GIS applications (or GIS apps) are computer-based tools that allow the user to create interactive queries (user-created searches), store and edit spatial and non-spatial data, analyze spatial information output, and visually share the results of these operations by presenting them as maps. You will learn how GIS utilized in various operations and numerous applications that relate to: engineering, planning, management, transport/logistics, and insurance, telecommunications, business, and location intelligence applications with GPS/GNSS.

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth. Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology, oceanography, glaciology, geology); it also has military, intelligence, commercial, economic, planning, and humanitarian applications. Course will teach you from fundamentals of Remote Sensing, pre and post processing, data sources, image classification, different indices and their interpretations.

Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena. Photogrammetry is used in 3D City modelling, DEM creation, ortho-photo generations.

LiDAR is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor. Differences in laser return times and wavelengths can then be used to make digital 3-D representations of the target. It has terrestrial, airborne, and mobile applications.

Advance Spatial Analysis, modelling and Scripting skills broaden user vision and allows to imagine automation scope in various GIS operations and productions work. Using python scripting user can also extract intelligence statistics for reporting or further uses.

Target Job Role
GIS Executive GIS Engineer GIS Operator LiDAR Engineer LiDAR Technician Photogrammetry Technician Remote Sensing Executive GIS and Remote Sensing Executive GIS Analyst

Download Course Brochure in PDF with Fees Details

What you will learn

Module Included:
  1. Geographic Information System
  2. Working with QGIS
  3. Introduction to Surveying Technologies (Total Station, GPS, DGPS, Drone)
  4. Data Collection for GIS with GPS/GNSS
  5. Working with AutoCAD
  6. Working with AutoCAD Map 3D
  7. Working with ArcGIS Desktop
  8. Fundamentals of Remote Sensing
  9. Working with ERDAS Imagine
  10. Aerial Surveying and Photogrammetric Techniques
  11. Digital Photogrammetry
  12. 3D GIS, Feature Extraction
  13. Working with Pix4D
  14. MicroStation for Geospatial
  15. Working with LiDAR Data
  16. Advance Spatial Analysis
  17. Programming ArcGIS with Python
  18. Project work
  1. ArcGIS Desktop
  2. AutoCAD
  3. AutoCAD Map 3D
  4. QGIS
  5. GPS/GNSS Instrument
  6. ArcPad
  7. Google Earth Pro
  8. ERDAS Imagine/ENVI – Remote Sensing
  9. MicroStation
  10. Terra Tools
  11. LPS
  12. ArcGIS - ArcPy
  1. Data modelling
  2. Geo-referencing
  3. Digitization
  4. Topology, QA/QC
  5. GIS Analysis
  6. Symbology
  7. Map Composition
  8. Data Interoperability Data conversion from GIS to CAD, kml, kmz, shp
  9. Batch geo-processing
  10. WebGIS, Web Services for base maps
  11. Mapping grade GPS handing (Trimble GPS)
  12. GIS Data collection, validation by GPS with desire accuracy
  13. Stake out of GPS
  14. Technical domain vocabulary of any two GIS application
  15. Remote Sensing Sensors, their characteristics and application
  16. Explore and download remote sensing data from various sources
  17. Panchromatic and multispectral image pre and post-processing
  18. Electromagnetic Spectrum interaction with earth objects
  19. Supervised and unsupervised image classification
  20. NDVI analysis and interpretation
  21. Aerial triangulation
  22. DEM creation, break lines editing
  23. 3D digitization and Feature Extraction
  24. Point cloud classification
  25. Point cloud editing for DEM, DSM smoothing
  26. Drone Data post-processing
  27. Python scripting for geoprocessing automation and productivity

Who should attend

  • Knowledge of computers
Who Should Attend
  • Any graduate score higher than 50%