Advance Geoinformatics Course - Information, Fee, Syllabus.

Advance Geoinformatics Course Information

Course Title: Advance Diploma in Geoinformatics
Duration: 12 months
Training Modes: Offline | Full-time
Timing: 4 days a week, 3 hours a day

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Advance Geoinformatics Course Eligibility

• Any Graduate or above from stream scored higher than 50%
• Must have knowledge of computers

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Advance Geoinformatics Course Target Job Roles

GIS Technician GIS Operator GIS Surveyor GIS Executive GIS Analyst Remote Sensing Executive Drone Data Analyst LiDAR Engineer GIS Expert GEE Executive Python Developer
Career Opportunities and Scope is in the field of Urban Planning, Land Records, Utilities, Environment.

Advance Geoinformatics 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.

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Modules covered in Advance Geoinformatics Course

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. Working with Google Earth Pro
9. Adv. Spatial Analysis (3D, Network, Hydrology)
10. Working with ArcGIS Pro
11. Scripting with Arcade
12. Introduction to ArcGIS Online
13. Working with Erdas Imagine
14. Working with SNAP
15. Project Work 1
16. Working with Pix4D
17. Working with Drone Deploy
18. Working with Agisoft
19. Working with MicroStation
20. Working with LiDAR Data
21. GIS Modelling
22. Programming with Python in ArcGIS (ArcPy)
23. Google Earth Engine
24. Project Work 2

Softwares taught in Advance Geoinformatics Course

1. ArcGIS Desktop
2. QGIS Desktop
3. GPS/GNSS
4. AutoCAD
5. AutoCAD Map 3D
6. Google Earth Pro
7. ArcGIS Pro
8. ArcGIS Online
9. Erdas Imagine
10. SNAP
11. Pix4D
12. Drone Deploy
13. Agisoft
14. Microostation
15. Terra Tools
16. Google Earth Engine

Technologies included in Advance Geoinformatics Course

1. GIS
2. GPS/GNSS
3. Surveying
4. Remote Sensing
5. Photogrammetry
6. LiDAR
7. GIS Programming