3 Months Advanced GIS & Remote Sensing Development Training[3 Months]
“YOUR CAREER IS OUR RESPONSIBILITY”
Geoinfra Technologies India®
About
The 3-Month Advanced GIS & Remote Sensing Development Training at Geoinfra Technologies India is a short-term, skill-focused program designed to give students and professionals a strong entry into the geospatial industry.
This program is ideal for those who want to gain hands-on experience with core GIS tools, remote sensing workflows, and spatial analysis techniques within a shorter time frame. With a practical learning approach, participants build the confidence to handle spatial data and apply GIS across sectors such as urban planning, environment, disaster management, and natural resources.
Software & Tools Covered
ArcGIS 10.x | QGIS | Google Earth Pro | ArcSWAT | Web GIS Platforms | USGS Tools
Who can opt?
This program is open to graduates and postgraduates from disciplines such as Geography, Geology, Environmental Science, Civil Engineering, Planning, and Computer Science. It is equally suitable for BSc/MSc students, PhD scholars, researchers, and academicians aiming to strengthen their geospatial expertise. Additionally, working professionals seeking career growth, transition, or upskilling are encouraged to join.
What You’ll Learn
Foundations of GIS: Components, data models (vector & raster), coordinate systems, projections
Data Acquisition: Maps, GPS, remote sensing datasets, Survey of India, Bhuvan, USGS sources
Georeferencing & Digitization: Shapefiles, geodatabases, attribute data creation, editing tools
Cartography & Map Design: Map layouts, thematic maps, legends, scales, symbols
Spatial Analysis: Buffer, overlay, dissolve, spatial joins, statistics, interpolation
Hydrology & Terrain Analysis: DEMs, slope, watershed delineation, flood risk mapping
Remote Sensing: Image processing, band combinations, AOI extraction, classification techniques
LiDAR Basics: Point cloud processing, DSM/DTM generation, feature extraction
Web GIS Introduction: Basics of web mapping, interactivity, online map sharing
Mini Project: Application-based project using real datasets
Table of Contents
Introduction to Geographic Information Systems (GIS)
What is GIS?
Definition of GIS and its significance in various fields.
Historical development and evolution of GIS technology.
GIS Components
Software: Overview of popular GIS software
Data types
Geographic coordinate systems and projections.
Data models: Vector and raster data structures.
Data Acquisition
Data types: Topographic Maps, GPS data, Remote Sensing data.
Data collection methods: Surveys, digitization, scanning.
Data collection sources: Survey of India, Bhukosh, Bhuvan, USGS Earth Explorer.
Georeferencing
Introduction
Load Data
Set Coordinate System
Add Control Points
Rectification
Digitization
Introduction
Shapefile and Geodatabase
Vectorization: Point, line and polygon features
File extensions in shapefile
Editing and advanced editing tools
Components in a shapefile
Attribute table and data creation
Components of Map
Map layouts
Title
Legend
Scale and Cartographic Scale
North Arrow/Compass Rose
Grid Lines and Coordinates
Borders and boundaries, geographic features
Labels and Annotations
Insets
Grid reference, data sources and credits
Thematic Maps
Choropleth Maps
Proportional Symbol Maps
Dot Density Maps
Isopleth Maps
Flow Maps
Heat Maps
Thematic Line Maps
3D Thematic Maps
GIS Data Analysis
Buffer Analysis
Overlay Analysis
Spatial Join
Dissolve and Merge
Clipping and Extraction
Spatial Statistics
Data Transformation and Conversion
Vector to Raster
Raster to Vector
Coordinate System Transformation
Merging and Splitting Data
Attribute Data Transformation
Data Extraction and Data Export
Extraction of spatial data from excel sheets
Conversion and editing of GPS data
Hydrology Analysis
Introduction
Importance of Hydrology in water resource management and environmental studies
Implementation of tools for watershed management
Watershed concept and characteristics
Types of watersheds
GIS Data Sources and Data Acquisition
Topographic Data Processing
Flow Accumulation
Flow Direction
Stream Network Analysis
Watershed delineation
Morphometric Analysis
Flood Risk Assessment using GIS Tools
Predictive Modeling
10.Terrain Analysis
Introduction
Digital Elevation Model (DEM)
Contour Mapping
Slope Analysis
Aspect Analysis
Visibility Analysis
Hillshade Analysis
Terrain Change Detection
Terrain Classification
Geological formations Analysis
Line of Sight Analysis
Terrain Profile and Cross-Section Analysis
Terrain-based Suitability Analysis
11.Advanced Spatial Analysis
Hot spot analysis
Cluster analysis
Spatial interpolation techniques
12.3D Visualization and Analysis
3D modeling
Terrain visualization
Viewshed analysis
3D interpolation
13.Time Series Analysis
Time-series data handling and analysis
Change detection over time
Trend analysis
Seasonal decomposition
14.Network Analysis
Introduction
Types of Network Analysis
Best Route
New Service Area
Closest Facility
Origin-Destination Cost Matrix
Location-Allocation Analysis
15.Introduction to Remote Sensing
What is remote sensing? How does it work?
Overview of the electromagnetic spectrum
Remote Sensing Platforms and its types
Characteristics and advantages of different platforms
Remote Sensing Data Types
16.Remote Sensing Data Processing
Introduction
Bands/Channels
Layer stack
Band Combinations
Extraction of Area Of Interest(AOI)
Ortho mosaic
17.Image Interpretation
Introduction
Visual interpretation vs. digital image processing
Elements of Visual Image Interpretation
Types of Digital Image Processing
Enhancing and analyzing remotely sensed images
18.Remote Sensing Data Analysis
Land Use/Land Cover Classification
Land Use Land Cover Change Detection
Normalized Difference Vegetation Index (NDVI)
Normalized Difference Water Index (NDWI)
Normalized Difference Built-up Index (NDBI)
Land Surface Temperature (LST)
19.LiDAR Data Processing
Introduction to LiDAR data
LiDAR data acquisition methods
LiDAR point cloud processing
Digital Surface Model (DSM) generation
Digital Terrain Model (DTM) generation
LiDAR-based feature extraction
20.Web Mapping
Collection and Preparation of Geographic Data
Web Map Libraries
Base maps
Overlay Layers
Interactivity
Geocoding and Search
Data Sharing and Collaboration
21.Hazard and Risk Assessment
Hazard mapping (e.g., flood, wildfire, earthquake)
Risk assessment methodologies
Vulnerability analysis
Emergency response planning using GIS
22.Urban Growth and Land Use Planning
Urban growth modeling
Land suitability analysis
Urban sprawl analysis
Smart city planning using GIS
Ecological Modeling
23.Species distribution modeling (SDM)
Habitat suitability analysis
Ecological niche modeling
Landscape connectivity analysis
24.Project Work
Define Project Objectives
Select Topic and Geographic Area
Data Collection and Preparation
Project Design and Workflow
Spatial Analysis
Analysis Results and Interpretation
Documentation and Submission
CAREER OPPORTUNITIES
GIS Analyst | GIS Engineer | GIS Project Manager | GIS Technician | GIS Associate | GIS Consultant | GIS Specialist
Please Note:
- Enrollment Date: You can start the course anytime at your convenience. We follow a flexible admission system, so there are no fixed start dates.
- Class Timings: Considering the time difference between India and other countries, we adjust class schedules to match your availability. Our general slots run between 8:00 AM to 8:00 PM (IST), but timings can be customized to suit your personal or professional commitments.
- Learning Resources & Software Access: Every student will receive a complete package of study support, including:
- GIS exercise databases for practice.
- Softcopies of notes and reference material.
- Recorded lecture access (where applicable).
- Hands-on practice modules and assignments.
- Access to industry-standard GIS software to build practical skills and confidence.
This ensures that your learning experience is smooth, flexible, and highly practical, no matter where you are located.