GIS, Drones and Machine Learning for Resource Mapping

From: 1,000.00

Last day of registration: 28th August, 2024

 

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SKU: 2nd September, 2024 Categories: ,

Description of the Course

 

● This course introduces working professionals and students to tools that will help them process satellite and drone imagery, and create and overlay GIS maps on them. They will also be taught how to process these images and maps for analysing changes over space and time, such as water body encroachments, plantation casualties, and crop extents, using machine learning and participatory modelling methods.

● Self-certified computer literacy e.g. the ability to use word processing and/or Spreadsheet software well, is the only prerequisite for taking this course.

 

Live Sessions :

On all Wednesday’s & 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 September 2, 2024 and will run for twelve weeks, until November 24, 2024. Each week, the students will watch 3 videos, each about 20 minutes, on their own i.e. at their convenient time. They will submit a weekly assignment and work on related parts of a course project. They will also attend two 1-hour live sessions every week on all Wednesday’s and Saturday’s. These will review weekly course material and monitor student progress.

Eligibility

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

Fees for the Workshop

Fees :

Students & Faculty : Rs 1180 (Rs 1000 + 18% GST)

NGO : Rs 1180 (Rs 1000 + 18% GST)

Government Organization : Rs 4720 (Rs 4000 + 18% GST)

Industry : Rs 11800 (Rs 10000 + 18% GST)

Certification

The criteria for the certificate is as follows:

  • Attendance
  • Assignments
  • Course Project

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