GIS, Drones and Machine Learning for Resource Mapping – Batch 2

From: ₹1,000.00

Last day of registration: 8th January, 2025

 

Clear
SKU: 20th January, 2025 Categories: ,

Description of the Course

This course introduces working professionals and students to tools that will help them create GIS maps, and process and use satellite and drone imagery to enhance these maps. They will also be taught how to analyse changes over space and time, such as water body encroachments, tree plantation casualties and crop area estimation, using machine learning methods.

Live Sessions :

On all Saturday’s : 07:00 p.m. – 08:00 p.m.

Profile of the Instructor(s)

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

Prof. Nagesh Kolagani is a Professor of Computer Science and Engineering at Saveetha School of Engineering, SIMATS, Chennai. He is an alumnus of IIT Madras: B.Tech. (1988) and Ph.D. (2016). He has 20+ years of experience in developing IT/GIS solutions for industry, Government, and villages, working as: Software Engineer in the USA, Project Scientist at IIT Madras, Associate Professor at IIIT Sri City, Head GIS at TNeGA, etc.

Prof. C. Lakshmana Rao is a Professor of Applied Mechanics at IIT Madras. He completed his B.Tech. and M.S. from IIT Madras in 1982 and 1986 respectively, and obtained his Ph.D. from MIT (USA) in 1992. He has a strong interest in development of frugal technological solutions for common problems encountered in rural areas: his most cited publication, together with Abhijit P Deshpande and M Bhaskar Rao, is: “Extraction of bamboo fibres and their use as reinforcement in polymeric composites” in Journal of Applied Polymer Science, 76 (1) : 83-92 (https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1097-4628(20000404)76:1%3C83::AID-APP11%3E3.0.CO;2-L).

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 : Spatio-Temporal Analysis

Concepts Covered:

  • Introduction to spatio-temporal analysis
  • Practice videos with Google Earth Engine

Learning Outcomes:

You will be able to carry out spatio-temporal analysis using Google Earth Engine

MODULE – 5 : Machine Learning

Concepts Covered:

  • Introduction to Machine Learning
  • Practice videos with Google Colab & drone imagery

Learning Outcomes:

You will be able to monitor land use, plantations, crops, etc. using drone imagery & Machine Learning.

MODULE – 6 : Participatory Modelling

Concepts Covered:

  • Introduction to Participatory Modelling
  • Practice videos with System Dynamics

Learning Outcomes:

You will be model to model socio-economic systems using participatory methods.

Detailed plan

This course will start on 20th of January, 2025 and will run for twelve weeks, until 13th of April, 2025. Each week, the students will watch about 3 videos, each about 20 minutes. They will submit weekly assignments and work on related parts of a course project. They will also attend  1-hour live session every week on Saturday’s.

Eligibility

Computer Literacy: Skill in Using Word Processing and/or Spreadsheet Software(s)

Fees for the Workshop

Fees :

Students & Faculty : Rs 1,180 (Rs 1,000 + 18% GST)

NGO : Rs 1,180 (Rs 1,000 + 18% GST)

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

Industry : Rs 11,800 (Rs 10,000 + 18% GST)

Certification

The criteria for the certificate is as follows:

 

Feedbacks from Previous Learners

  • The course gave the opportunity to know 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 help us solve assignments

 

Reviews

There are no reviews yet.

Be the first to review “GIS, Drones and Machine Learning for Resource Mapping – Batch 2”