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.
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.
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.
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.
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.
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