Karka

Course

Satellite Data Analyst: Earth Observation & GIS

Read the Earth from space — the space skill India actually hires for. Real Sentinel-2 scenes, NDVI in Python, a job-ready portfolio.

Professional electiveCoreSpaceCertificate
6 modules 30 lessons 15 enrolled ~16h of material

First three lessons free. Full access with Karka Pass from ₹49 for 7 days (7 days ₹49 · 30 days ₹199 · 1 year ₹1,999).

Satellite Data Analyst: Earth Observation & GIS

By the end

What you'll build

  • Interpret true-colour and false-colour Sentinel-2 scenes of your own district in Copernicus Browser, using professional interpretation elements
  • Compute, threshold and classify NDVI from satellite band arrays in Python, and convert pixel counts into hectare estimates
  • Explain how PMFBY's YES-TECH framework uses satellite NDVI time series alongside crop-cutting experiments for paddy and wheat yield estimation
  • Navigate India's EO ecosystem — Resourcesat, Cartosat, EOS-04, NISAR, INSAT — and source free data from Bhoonidhi, Bhuvan and Copernicus
  • Build a three-project geospatial portfolio and a zero-cost credential stack (free IIRS-ISRO certificates) targeted at the roles Indian employers actually hire for

Curriculum

What's inside

6 modules · 30 lessons

  1. 01

    How Satellites See

    5 lessons
    • Start Here: Your Map to a Real Space Career
    • Light Beyond Your Eyes: Bands and the Spectrum
    • The Four Resolutions and Where Satellites Fly
    • EO Vocabulary Builderflashcard sr
    • Module 1 Check: How Satellites Seequiz
  2. 02

    Reading Real Scenes

    5 lessons
    • Sentinel-2: The Free Workhorse
    • Reading a Scene Like an Analyst
    • Evidence Lab: Your District from Spacewriting lab
    • Band Math Numericalsfill blank
    • Module 2 Check: Reading Scenesquiz
  3. 03

    Python Geospatial: NDVI and Classification

    6 lessons
    • Rasters Are Just Arrays
    • Python Lab: Your First Raster Statisticspython lab
    • NDVI: The Formula That Feeds Decisions
    • Python Lab: Compute NDVI from Red and NIRpython lab
    • Python Lab: Classify a Landscape and Report Hectarespython lab
    • + 1 more lesson
  4. 04

    India's Missions and Free Data

    4 lessons
    • India's Earth Observation Fleet
    • Bhoonidhi: Free Indian Satellite Data
    • India Missions Flashcardsflashcard sr
    • Module 4 Check: Indian EOquiz
  5. 05

    Applied Tracks: Crops, Floods, Cities

    5 lessons
    • YES-TECH and PMFBY: Satellites in Crop Insurance
    • Python Lab: A Paddy Season in NDVIpython lab
    • Flood Mapping with Radar Eyes
    • Watching Cities Grow
    • Module 5 Check: Applied EOquiz
  6. 06

    Portfolio and the Job Map

    5 lessons
    • The Free Credential Stack: IIRS-ISRO Certificates
    • Who Actually Hires: The India EO Job Map
    • Three Portfolio Projects That Get Interviews
    • Final Check: Satellite Data Analystquiz
    • What Next: QGIS, Earth Engine and the ML Ladder

The shape of it

How this course works

Short lessons

30 lessons across 6 modules, each small enough to finish in one sitting.

Practice as you go

Every lesson ends with a small space for what you noticed — the doing is the learning.

A certificate at the end

Finish the course and earn a certificate anyone can verify with a link.

Ready when you are.

Make an account and this course opens up — your progress is saved from the very first lesson.