top of page
DALL·E 2025-11-28 14.49.37 - A side-by-side visual showing the process of NDVI to LULC cla

​Python GeoAI Bootcamp — NDVI to LULC in Colab

Presented by- Pragati Centre of Excellence (AGSRT & TPLC) @ GEC Barton Hill, (TVM)

About The Workshop

A five-day intensive online program designed to teach NDVI, NDWI, sampling, model training, accuracy evaluation, zonal statistics, and complete LULC classification workflows using Python in Google Colab.
Participants work with real Sentinel-2 datasets and build a reusable LULC pipeline by the end of the program.

At a Glance

Key Details*

  • Dates: December 16 to 20

  • Mode: Live online sessions with recordings

  • Platform: Google Colab

  • Duration: 5 hours per day, 25 hours total

  • Audience: Students, faculty, and analysts

  • Experience required: No prior machine learning background

  • Cohort size: 30 to 50 participants

  • Program fee: ₹4,500 + 18 percent GST, total ₹5,310

Prerequisites — Colab Only

Laptop With Artwork

Laptop with 8 to 16 GB RAM

Wi-Fi Signal Device

stable 10 Mbps internet

Image by Brett Jordan

Google account with Drive and Colab access

unsplash-kfuSP6TgnbQ_edited.jpg

Updated Google Chrome browser

_edited_edited.jpg

Network must allow access to Colab and Drive

​Knowledge Prerequisites (Skill Set)

Must Have

  • Basic GIS concepts, vector, raster, layers, CRS

  • QGIS essentials, open layers, check CRS, export GeoTIFF or PNG

  • Spreadsheet usage, filter, sort, simple formulas

  • Basic computer operations, unzip, manage folders

Nice to have

  • Ability to read simple Python, variables, functions

  • Basics of remote sensing, satellite bands, NDVI concept

  • Simple statistical terms, accuracy, confusion matrix

Who Should Attend

-Town Planners and Urban Planners

-Architects and Urban Designers

-Government Departments

-Students and Scholars

-GIS/RS Learners

-Analysts working in environment, planning, or disaster domains

Image by Hunters Race

Workshop Focus

  • Urban resilience and microclimate fundamentals

  • Hands-on ENVI-met simulations for climate modelling

  • Environmental modelling for heat mitigation

  • Scenario modelling with practical datasets

  • NDVI/NDWI computation, features, training, accuracy metrics

  • Full LULC pipeline in Colab

Hands-On Agenda (Day-Wise)

  • Day 1: Open Sentinel-2, cloud masking, NDVI/NDWI, export to Drive

  • Day 2: Training polygons, feature sampling, train/test split

  • Day 3: Random Forest model training, prediction, confusion matrix, OA/UA

  • Day 4: Post-processing, class clean-up, zonal stats, charts & maps

  • Day 5: Capstone → Re-run workflow for chosen AOI + final deliverable pack

Registration Details

  • Standard Fee: ₹4,500 + GST

  • GEC Kerala Students (30% Off): ₹3,150 + GST

  • GEC Barton Hill Students(50% Off): ₹2,250 + GST

  • TPLC & AGSRT (70% Off): 1,350 + GST

Deliverables

  • LULC classified raster (GeoTIFF)

  • Accuracy report (PDF)

  • Zonal statistics table (Excel/CSV)

  • Colab notebook (parameterized)

  • Output maps, charts, and legend pack

  • E-certificate issued by Pragati CoE @ GEC Barton Hill

Certificate & Eligibility

Graduation Cap Display

Certificates will be awarded to participants with:

  • Minimum 80% attendance

  • Completion of capstone submission

Issued jointly by: Pragati CoE (AGSRT & TPLC) @ GEC Barton Hill (TVM)

bottom of page