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[Level 2] Remote Sensing and Google Earth Engine

March 8, 2024 @ 9:00 am - March 22, 2024 @ 12:30 pm UTC+0


[Level 2] Remote Sensing and Google Earth Engine

Professional 4 Weekends ▪ Field Experience

5.0 Drone Pilot for Professionals (100% Practical) ▪ Exam & Certificate

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Course Description:

Learn how to use the Google Earth engine and remote sensing software like an expert to acquire information about an object or phenomenon (Land, Water, Rock, Settlement or landforms, etc.) without making physical contact with the object. This is done by sensing, recording, and measuring its reflected and emitted radiation at a distance (typically from satellite, aircraft, or drone). Special cameras collect remotely sensed images, which help researchers “sense” things about the Earth. Remote sensing is applied in RADAR, Laser, LIDAR, polarimetry, aerial photography, hyperspectral imaging, etc.

Course Highlights:

  • Explore Google Earth Engine: Learn remote sensing tools.
  • Understand remote sensing fundamentals: Analyze sensor data.
  • Master image processing: Enhance, classify, and extract features.
  • Apply knowledge to real projects: Solve problems using remote sensing software.

Our Certificate is Recognized by Top Industries

Certificate of completion

Remote Sensing Mastering and Completion with GOogle Earth Engine

Increased job opportunities and career prospects

Higher client confidence and trust


Courses Modules

1. Fundamentals and Principles of Remote sensing

A. Introduction to Remote Sensing
B. Electromagnetic Spectrum and Remote Sensing
C. Remote Sensing Platforms and Sensors
D. Image Acquisition and Interpretation
E. Radiometric and Geometric Corrections
F. Image Enhancement and Analysis
G. Digital Elevation Models (DEMs) and Topographic Mapping
H. Remote Sensing Applications

2. Introduction to Google Earth Engine

A. Getting Started with Google Earth Engine
B. Data and Image Collections in Earth Engine
C. Earth Engine Code Editor
D. Earth Engine JavaScript API
E. Image Processing and Analysis in Earth Engine
F. Earth Engine Algorithms and Applications
G. Geospatial Analysis and Visualization in Earth Engine
H. Earth Engine and Machine Learning
I. Earth Engine Community and Resources

3. Introduction to Java Script

A. Introduction to Java Script
B. JavaScript Basics
C. Functions and Objects
D. Arrays and Loops
E. JavaScript Libraries for Remote Sensing
F. Manipulating Geospatial Data in JavaScript
G. Visualization and Mapping with JavaScript
H. Remote Sensing Analysis with JavaScript
I. Integration with Remote Sensing APIs
J. Best Practices and Resources

4. Visualizing satellite images

A. Introduction to Satellite Images
B. Basics of Remote Sensing Data Visualization
C. Image Display and Exploration
D. False Color Composites
E. Image Stretching and Histogram Analysis
F. Image Fusion and Pan-Sharpening
G. Image Classification and Land Cover Mapping
H. Time Series Analysis and Animated Visualization
I. 3D Visualization of Satellite Images
J. Web-Based Satellite Image Visualization

5. Computations using satellite images

A. Radiometric Calibration
B. Atmospheric Correction
C. Image Subset and Mosaic
D. Spectral Indices and Vegetation Analysis
E. Change Detection
F. Object-Based Image Analysis (OBIA)
G. Image Fusion and Data Integration
H. Machine Learning for Satellite Image Analysis
I. Topographic Analysis
J. Spatial Modeling and GIS Integration

6. Satellite Image collections

A. Overview of Satellite Image Collections
B. Satellite Image Acquisition and Archives
C. Image Collection Metadata and Catalogs
D. Preprocessing and Quality Assessment
E. Temporal Image Stacks and Time Series
F. Image Collection Fusion and Compositing
G. Data Access and Image Retrieval
H. Image Collection Visualization and Exploration
I. Cloud Computing and Big Data Analysis

7. Image Processing

A. Image Acquisition and Preprocessing
B. Image Enhancement
C. Image Restoration
D. Image Transformation and Compression
E. Image Segmentation
F. Feature Extraction and Object Recognition
G. Image Registration and Alignment
H. Image Fusion
I. Image Analysis and Measurement

8. Calculating Indices

A. Introduction to Remote Sensing Indices
B. Spectral Indices for Vegetation Analysis
C. Water Indices
D. Burn Indices
E. Urban Indices
F. Snow and Ice Indices
G. Image Bands and Formulas for Index Calculation
H. Limitations and Considerations
I. Advanced Indices and Future Developments

9. Geoinfotech Online Test

A. Exam and Assessment

10. Award Of Certificate

A. Certificate

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March 8, 2024 @ 9:00 am UTC+0
March 22, 2024 @ 12:30 pm UTC+0
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Training Venue Available in
Lagos and Abuja 100253 Nigeria + Google Map
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