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Google Earth Engine with Python API Express Course

4.6 Basic to Advance 15 Days | 30 Hours (2 Hours per Day) Very Soon
Instructor - Highly Proficient in Remote Sensing, GIS, and Google Earth Engine

Course Overview

This 30-hour intensive course is designed for individuals eager to master Google Earth Engine (GEE) using the Python API. Covering fundamental to advanced topics, it will teach you to handle geospatial data, apply vegetation indices, process satellite imagery, perform supervised classification, and tackle real-world applications like NDVI anomaly detection, LST mapping, and soil loss estimation.

Why Enroll in This Course?

Expert-Led Training – Learn from instructors with deep knowledge of GEE and Python API.
Hands-On Learning – Work on real-world projects with satellite data and geospatial analysis
Advanced Techniques – Master cloud masking, time-series analysis, and machine learning models.
Comprehensive Materials – Access study PDFs, PPTs, and code scripts for every module.

Who Should Take This Course?

Researchers & Professionals in environmental science, agriculture, forestry, or urban planning.
Students wanting to gain practical skills in remote sensing and geospatial data processing.
Anyone interested in automating workflows and large-scale geospatial analysis using Python and GEE.

Course Features

Live & Recorded Classes – Interactive and accessible for future reference.
Comprehensive Study Materials – Downloadable PDFs, PPTs, and Code Scripts.
Hands-On Experience – Work on real-world projects using Python and GEE.
Multi-Device Access – Learn on mobile, laptop, or PC at your convenience.

Topics of Course

Basic Topic :

Module 1: Earth Engine Basics

  • Introduction to Google Earth Engine
  • Overview of GEE & Code Editor
  • Writing your first script ("Hello World")
  • Saving & managing scripts
  • Image & Feature Collections
  • Accessing & visualizing satellite imagery
  • Filtering image collections (temporal, spatial, attribute-based)
  • Creating mosaics & working with vector data
  • Data Handling & Exporting
  • Importing external datasets
  • Clipping images to specific regions
  • Exporting processed results
  • Advance Topics :

    Module 2: Earth Engine Intermediate
  • Earth Engine Objects & Index Calculations
  • Understanding raster & vector objects
  • Calculating vegetation indices (NDVI, EVI, SAVI)
  • Computation on Image Collections & Cloud Masking
  • Advanced filtering & image processing
  • Cloud masking techniques (MODIS, Landsat, Sentinel-2)
  • Data Reduction & Time-Series Analysis
  • Using reducers to extract statistics
  • Generating time-series charts
  • Module 3: Supervised Classification & Change Detection
  • Supervised Classification Basics
  • Machine Learning for land cover classification
  • Training classifiers
  • Accuracy Assessment & Change Detection
  • Evaluating classification accuracy
  • NDVI & spectral change detection
  • post-classification comparison
  • Module 4: GEE with Python API & Project Work
  • Introduction to Python API
  • Setting up Google Earth Engine Python API
  • Running GEE scripts in Google Colab
  • Project Work (Real-World Applications)
  • NDVI Anomaly Analysis
  • Detecting vegetation health trends & drought impact
  • Land Surface Temperature (LST) Mapping
  • Analyzing temperature variations & urban heat islands
  • Biomass Carbon Prediction
  • Estimating carbon sequestration using remote sensing
  • Air Quality Mapping
  • Monitoring pollution levels with satellite data
  • Soil Loss Estimation with RUSLE
  • Predicting soil erosion risk with GEE
  • Classifying Paddy Fields using Sentinel-1 SAR
  • Using Synthetic Aperture Radar (SAR) for crop mapping
  • 2099/-

    Course Name :-

    Google Earth Engine with Python API – Express Course

    Instructor:-

    Highly Proficient

    Category:-

    Basic to Advanced

    Level:-

    Intermediate

    Duration:-

    15 Days | 30 Hours (2 Hours per Day)

    Mode:-

    Live & Recorded Sessions

    Access:-

    Mobile, Laptop, PC

    Requirements

  • At SkillBuilt 24x7, we welcome everyone who's ready to grow—no experience needed! Here's all you need to get started:
  • No need for basic coding knowledge – we start from scratch
  • Beginner-friendly – perfect for absolute newcomers
  • Just bring your curiosity and eagerness to learn new things
  • A laptop is a must – your gateway to hands-on learning
  • No prior concepts required – we’ll teach you everything step by step