Google Earth Engine Practical Training Program
This beginner-friendly training program by HashDataX Solutions is designed to equip learners with practical skills in using Google Earth Engine (GEE) for geospatial data processing, analysis, and visualization. Through interactive modules and real-world case studies, participants will learn how to access and analyze satellite imagery, perform land cover classification, conduct time series analysis, and execute applied environmental projects. Whether you are a student, researcher, GIS analyst, or environmental enthusiast, this course offers hands-on experience to help you solve real-world problems using cloud-based geospatial technology.
Mode of Delivery: Online (Self-paced & Instructor-Guided)
Software Used: Google Earth Engine (Code Editor)
Level: Beginner to Intermediate
Certification: Certificate of Completion from HashDataX Solutions
Learning Outcomes
By the end of this training program, learners will be able to:
- Understand the fundamentals of Google Earth Engine, its interface, and core applications.
- Set up and navigate the GEE Code Editor, and write basic JavaScript scripts for geospatial analysis.
- Access, filter, and visualize satellite imagery from datasets such as Landsat, Sentinel, and MODIS.
- Perform land cover classification using supervised and unsupervised methods, including CART, SVM, and Random Forest.
- Analyze time series data (e.g., NDVI) and apply statistical trend analysis techniques like linear regression.
- Implement real-world geospatial projects, including agricultural monitoring, urban expansion analysis, and water resource assessment.
- Create and present a final capstone project, showcasing the full workflow from data acquisition to analysis and reporting.
- Earn a recognized certificate, enhancing your professional portfolio in GIS and Remote Sensing.
Curriculum
- 5 Sections
- 20 Lessons
- 5 Weeks
- Week 1: Introduction to Google Earth EngineProvide foundational knowledge and set up the GEE environment4
- Week 2: Working with Satellite Imagery in GEELearn to access, filter, and visualize satellite datasets.4
- Week 3: Image Classification and Land CoverPerform land use/land cover classification using GEE.4
- Week 4: Time Series and Trend AnalysisAnalyze environmental trends using multi-temporal data.4
- Week 5: Applied Projects in GEEApply all acquired skills in real-world case studies.4
Hashimu Misanya
👋 Welcome to My Learning Space!
I’m Hashimu Misanya, a passionate Data Scientist, GIS & Remote Sensing Specialist, and an educator dedicated to empowering individuals with practical skills in Geospatial Analysis, Data Science, and Remote Sensing.
As the founder of Hashdatax, I provide hands-on training, consultation services, and learning resources to help professionals and students master tools like ArcGIS, QGIS, Python for GIS, and Remote Sensing applications.
With a strong background in data analysis, mapping, and spatial decision-making, I aim to bridge the gap between theoretical knowledge and real-world application. Through this platform, I share comprehensive tutorials, interactive courses, and expert guidance to help learners excel in their careers.
🚀 Join me in exploring the power of GIS, Data Science, and Remote Sensing!
🔗 Visit my website: hashdatax.com
📩 Let's connect and grow together!
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