GIS, Drones & Machine Learning for Resource Mapping & Analysis – Batch 3

From: ₹2,000.00

Last day of registration: 30th July, 2025

 

Clear
SKU: 4th August, 2025 Categories: ,

Description of the Course

This course introduces learners to technologies that will help in:
1) Creating GIS maps
2) Using satellite & drone imagery to enhance these GIS maps
3)  Analysing changes in satellite & drone imagery over space and time using AI/ML algorithms
4) Developing GIS apps using Full Stack Technologies: NodeJS/React/Leaflet
5) Modelling real-world problems and potential solutions using the System Dynamics tools

Live Sessions :

On all Wednesdays & Saturdays: 07:00 p.m. – 08:00 p.m.

The other courses offered by the faculty:

  1. GIS, Satellite & Drone Imagery for Resource Mapping : https://elearn.nptel.ac.in/shop/iit-workshops/ongoing/gis-satellite-drone-imagery-for-resource-mapping/?v=c86ee0d9d7ed
  2. GIS App Development for Resource Mapping : https://elearn.nptel.ac.in/shop/iit-workshops/ongoing/gis-app-development-for-resource-mapping/?v=c86ee0d9d7ed

Profile of the Instructor(s)

 

 

Prof. Nagesh Kolagani is a Professor of Computer Science and Engineering at Centurion University of Technology & Management (CUTM), Vizianagaram, AP. He is an alumnus of IIT Madras: B.Tech. (1988), Ph.D. (2016). He has 25+ years of experience in developing IT/GIS solutions for industry, Government, and village stakeholders. He worked earlier as: Software Engineer at Borland Corporation (CA, USA), Project Scientist at IIT Madras, Associate Professor at IIIT Sri City (AP), Head GIS at TN e-Governance Agency, etc.

 

Prof. Abhijit P. Deshpande is a Professor of Chemical Engineering and co-PI of Rural Technology Action Group (RuTAG) at IIT Madras. He coordinated the activities of RuTAG from 2018 to 2024. Among the technologies developed during this period are the paddy thresher, the automatic coir spinning machine, the groundnut pod separator, the madurkathi handloom mat weaving using electronic jacquard, the vending cart, the frugal hearing aid, and the mango seed decorticator. A fabrication/design platform that aims to enable local fabrication is also being developed.

Module Details

MODULE – 1 : GIS Maps

Concepts Covered:

  • Introduction to GIS – Practice videos of QGIS and GeoODK

Learning Outcomes:

You will be able to create maps using QGIS, GeoODK, and Google Earth

MODULE – 2 : Satellite Imagery

Concepts Covered:

  • Introduction to Remote Sensing – Practice videos of Google Earth

Learning Outcomes:

You will be able to create maps using QGIS, GeoODK, and Google Earth

MODULE – 3 : Drone Imagery

Concepts Covered:

  • Introduction to Drone Imaging – Practice videos of WebODM and CVAT

Learning Outcomes:

You will be able to create ortho-mosaiced and annotated drone imagery using WebODM and CVAT

 

MODULE – 4 : Mobile & Web GIS App Development – Basics

Concepts Covered:

HTML, CSS, JavaScript

Learning Outcomes:

You will be able to create basic web user interfaces

MODULE – 5 : Machine Learning & Satellite Imagery – Part 1

Concepts Covered:

Machine Learning, Spatio-Temporal Analysis, Satellite Imagery
Practice videos-Google Earth Engine

Learning Outcomes:

You will be able to carry out spatio-temporal analysis using Google Earth Engine, JavaScript & ML algorithms

MODULE – 6 : Machine Learning & Satellite Imagery – Part 2

Concepts Covered:

Machine Learning, Spatio-Temporal Analysis, Satellite Imagery
Practice videos-Google Earth Engine

Learning Outcomes:

You will be able to carry out spatio-temporal analysis using Google Earth Engine, JavaScript & ML algorithms

MODULE – 7 : Machine Learning & Drone Imagery – Part 1

Concepts Covered:

Machine Learning, Spatio-Temporal Analysis, Drone Imagery
Practice videos with Google Colab

Learning Outcomes:

You will be able to carry out spatio-temporal analysis using Google Colab, Python & ML algorithms

MODULE – 8 : Machine Learning & Drone Imagery – Part 2

Concepts Covered:

Machine Learning, Spatio-Temporal Analysis, Drone Imagery
Practice videos with Google Colab

Learning Outcomes:

You will be able to carry out spatio-temporal analysis using Google Colab, Python & ML algorithms

MODULE – 9 : Participatory Modelling – Basics

Concepts Covered:

Introduction to Participatory Modelling
Practice videos with System Dynamics: Causal Loop Diagrams

Learning Outcomes:

You will be able to model socio-economic & other systems using System Dynamics

MODULE – 10 : Mobile & Web GIS App Development Using Full Stack Technologies

Concepts Covered:

Server-side: NodeJS
Client-side: React + Leaflet

Learning Outcomes:

You will be able to create both server and client sides of a mobile & web GIS app

MODULE – 11 : Mobile & Web GIS App Development Using Full Stack Technologies

Concepts Covered:

Server-side: NodeJS
Client-side: React + Leaflet

Learning Outcomes:

You will be able to create both server and client sides of a mobile & web GIS app

MODULE – 12 : Participatory Modelling – Simulation & Scenario Analysis

Concepts Covered:

Practice videos with System Dynamics: Stock and Flow Diagrams

Learning Outcomes:

You will be able to simulate and analyse socio-economic & other systems

Detailed plan

This course will start on the 4th of August, 2025, and will run for twelve weeks, until the 26th of October, 2025. Each week, the learners will:
1) Watch about 3 videos, each about 20 minutes
2) Submit weekly assignments and course projects
3) Attend and participate in 1-hour live sessions on Wednesdays and Saturdays every week

Fees for the Workshop

Students & Faculty : Rs 2,360 (Rs 2,000 + 18% GST)

NGO : Rs 2,360 (Rs 2,000 + 18% GST)

Government Organization : Rs 4,720 (Rs 4,000 + 18% GST)

Industry : Rs 14,160 (Rs 12,000 + 18% GST)

Certification

The criteria for the certificate is as follows:

● Attendance
● Participation
● Assignments
● Projects

Feedbacks from Previous Learners

  • The course allowed knowing about the latest tools in GIS and spatial data analysis, and learn the concepts with a hands-on approach
  • The students gained valuable insights into the practical aspects of Spatial data, especially Drone imaging and analysis
  • The course videos and the steps were sufficient to cover the topic and to perform the task. The live sessions were adequate to explain the concepts and give demos.
  • We were fortunate to have professor Kolagani as a faculty for the course who guided us throughout with lot of patience.
  • Live sessions are very well handled by the faculty. He explains everything from scratch and helps us solve assignments

 

Targeted Audience

i) Industry
ii) Government
iii) NGO
iv) Faculty & Students

Reviews

There are no reviews yet.

Be the first to review “GIS, Drones & Machine Learning for Resource Mapping & Analysis – Batch 3”