Big Data in Geospatial Analysis with Google Earth Engine Training Course
This training course will equip participants with the necessary skills and knowledge on how to report, analyze, and disseminate data for all health programs.
Course Overview
| Course Title | Big Data in Geospatial Analysis with Google Earth Engine Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | TBA days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | TBA |
| Course Fees (Virtual) | |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview:
This 5-day training course, offered by IRES, focuses on harnessing Big Data in geospatial analysis using Google Earth Engine (GEE). Participants will learn to utilize GEE’s powerful cloud-based platform to analyze and visualize large-scale geospatial datasets. The course covers the fundamentals of GEE, advanced data processing techniques, and practical applications for environmental monitoring, urban planning, and other spatial analyses.
Course Duration:
5 days
Target Audience:
- GIS analysts and geospatial data scientists
- Remote sensing specialists
- Environmental scientists and researchers
- Urban planners and infrastructure developers
- Professionals in agriculture, forestry, and disaster management
Personal Impact:
- Gain expertise in using Google Earth Engine for analyzing and visualizing large geospatial datasets.
- Develop skills to process and interpret Big Data in the context of geospatial analysis.
- Enhance your ability to leverage cloud-based platforms for advanced spatial data analysis.
- Acquire practical experience in applying GEE to real-world environmental and spatial challenges.
- Improve your capability to work with and derive insights from extensive geospatial datasets.
Organizational Impact:
- Strengthen the organization’s ability to handle and analyze large-scale geospatial data efficiently.
- Support more accurate and informed decision-making through advanced Big Data analysis techniques.
- Enhance capacity for monitoring and managing environmental and urban systems using GEE.
- Foster innovation in utilizing cloud-based geospatial technologies for various applications.
- Improve the organization’s ability to address complex spatial problems with cutting-edge tools.
Course Objectives:
- To provide an understanding of Google Earth Engine and its applications in geospatial analysis.
- To teach participants how to access, process, and analyze Big Data using GEE.
- To equip participants with practical skills for visualizing and interpreting large-scale geospatial datasets.
- To demonstrate techniques for applying GEE to real-world environmental and spatial analysis projects.
- To enable participants to optimize GEE workflows for effective Big Data geospatial analysis.
Course Modules
Course Outline:
Module 1: Introduction to Google Earth Engine
- Overview of Google Earth Engine and its capabilities
- Key concepts in Big Data geospatial analysis
- Accessing and navigating the GEE platform
- Case Study: Introduction to a GEE project for land cover classification
Module 2: Data Access and Management
- Accessing geospatial datasets in Google Earth Engine
- Managing and organizing data within the GEE platform
- Data preparation and preprocessing techniques
- Real-Life Project: Importing and managing remote sensing datasets in GEE
Module 3: Data Processing and Analysis
- Techniques for processing large-scale geospatial data
- Implementing spatial analysis and data manipulation using GEE
- Advanced processing methods: image classification, change detection, and time-series analysis
- Case Study: Using GEE for vegetation analysis and land cover change detection
Module 4: Visualization and Interpretation
- Visualizing geospatial data using GEE’s built-in tools
- Creating and customizing maps, charts, and animations
- Interpreting and presenting analysis results
- Real-Life Project: Developing visualizations for an environmental monitoring project
Module 5: Best Practices and Future Directions
- Best practices for using Google Earth Engine in geospatial analysis
- Advanced techniques and recent developments in Big Data geospatial analysis
- Future trends and innovations in cloud-based geospatial technologies
- Case Study: Designing a comprehensive GEE-based solution for urban planning and disaster management
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to letstalk@techfordevelopment.com.
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