Loading...

Geospatial Analysis with GEE & Drone Imaging

4.6 Basic to Advance 14 Hrs (7 Days, 2 Hours per Day) Very Soon
Instructor - Highly Proficient in Remote Sensing, Geospatial Data Analysis, and GEE

Course Overview

Unlock the power of Geospatial Analysis with Google Earth Engine (GEE) and Drone Imagery in this 7-day practical course. You will gain hands-on experience in processing and analyzing satellite and drone imagery to extract insights into vegetation health, crop growth, and environmental changes. With in-depth coverage of vegetation indices, time-series analysis, and spectral interpretation, this course is designed for individuals aiming to develop expertise in geospatial analysis using GEE and drone data.

Why Enroll in This Course?

Expert-Led Training – Learn from instructors with deep knowledge of Remote Sensing and GEE tools.
Practical Approach – Work on real-world agriculture and environmental monitoring projects.
Advanced Analytical Techniques – Understand the creation and interpretation of multispectral indices and time-series analysis.
Hands-On Experience – Use satellite imagery and drone data to solve real-world challenges.
Comprehensive Learning Resources – Get access to study materials, live classes, and recorded sessions.

Who Should Take This Course?

Agricultural Professionals & Researchers – Apply geospatial data to monitor crop health, predict yields, and assess soil conditions.
Remote Sensing Enthusiasts & Data Scientists – Learn to analyze satellite and drone data for environmental and agricultural monitoring.
Students & Professionals in Geospatial Technologies – Gain hands-on experience in GEE and drone-based analysis.
Land Management & Environmental Scientists – Enhance your understanding of land use and environmental changes with spatial analysis.

Course Features

Live & Recorded Classes – Interactive sessions with full-time access to recorded materials.
Comprehensive Study Materials – Downloadable PDFs, PPTs, and Code Scripts for each module.
Hands-On Learning – Apply GEE and drone data in real-world scenarios.
Multi-Device Access – Learn on mobile, laptop, or PC at your convenience.
1-Hour Demo Video – Get an introduction to geospatial analysis and the course structure.

Course Outcomes

By the end of this course, you will be able to:

Process and analyze satellite and drone imagery for environmental and agricultural applications using GEE.
Calculate and interpret vegetation indices for crop health and vegetation monitoring.
Visualize and extract insights from multispectral and drone-based data.
Implement time-series analysis and advanced vegetation indices to monitor vegetation health over time.
Build end-to-end workflows for remote sensing projects using GEE and drone data.

Transform Your Career with Advanced Geospatial Skills!
Enroll Now and Master Geospatial Analysis with GEE & Drone Imaging for Agriculture and Environmental Monitoring!

Topics of Course

Introduction to Earth Engine & Workspace Setup
  • Setting up your Google Earth Engine (GEE) workspace
  • Understanding Earth Engine Objects & Data Structures – EE data types & functions
  • Working with Image Collections – Accessing & visualizing satellite imagery
  • Importing & Clipping Data – Loading external datasets & extracting regions of interest
  • Image Processing & Compositing
  • Filtering Image Collections – Applying spatial, temporal, & attribute filters
  • Creating Mosaics & Composites – Generating cloud-free composites
  • Cloud Masking – Removing clouds using Sentinel, Landsat, & MODIS
  • Exporting Data – Downloading processed images & results
  • Vegetation Indices & Time-Series Analysis
  • Calculating Vegetation Indices – NDVI, EVI, SAVI, GNDVI, ARVI, OSAVI, etc.
  • Computation on Image Collections – Advanced batch processing techniques
  • Reducers & Time-Series Analysis – Extracting statistics & generating trend analysis
  • Drone Data Visualization & RGB-Based Indices
    Visualizing Drone Imagery in & GEE RGB Image-based Vegetation Indices (7 Indices)
  • ExG (Excess Green Index)
  • ExR (Excess Red Index)
  • VEG (Vegetative Index)
  • NGRDI (Normalized Green Red Difference Index)
  • CIVE (Color Index of Vegetation)
  • GLI (Green Leaf Index)
  • MGRVI (Modified Green Red Vegetation Index)
  • Multispectral Vegetation Indices & Spectral Interpretation
    Multispectral Index Calculation (6 Indices)
  • NDVI (Normalized Difference Vegetation Index)
  • SAVI (Soil-Adjusted Vegetation Index)
  • EVI (Enhanced Vegetation Index)
  • GNDVI (Green Normalized Difference Vegetation Index)
  • RVI (Ratio Vegetation Index)
  • OSAVI (Optimized Soil-Adjusted Vegetation Index)
  • Understanding Spectral Signatures & Index Interpretation
  • Advanced Vegetation Indices & Crop Health Analysis
    Additional Multispectral Indices (6 Indices)
  • GRVI (Green Ratio Vegetation Index)
  • MCARI (Modified Chlorophyll Absorption Reflectance Index)
  • TCARI (Transformed Chlorophyll Absorption Reflectance Index)
  • ARVI (Atmospherically Resistant Vegetation Index)
  • GCI (Green Chlorophyll Index)
  • NDRE (Normalized Difference Red Edge)
  • Comparing & Combining Vegetation Indices
    Crop Health & Stress Detection
    Applications, Case Studies & Hands-on Project
  • Case Studies – Practical examples of vegetation index applications
  • Hands-on Project – Implementing a full workflow using GEE
  • Exploring Further – Next steps in remote sensing & advanced techniques
  • 1299/-

    Course Name :-

    Geospatial Analysis with GEE & Drone Imaging

    Instructor:-

    Highly Proficient

    Category:-

    Basic to Advanced

    Level:-

    Intermediate

    Duration:-

    14 Hours (7 Days, 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