Description
Big Geospatial Data Analysis Course
Big Geospatial Data Analysis Course empowers you to master large-scale geospatial data processing using Google Earth Engine. This comprehensive training helps learners efficiently analyze, visualize, and interpret geospatial datasets to solve real-world environmental, urban planning, and climate challenges.
Course Description
This course provides an in-depth exploration of Google Earth Engine for handling massive geospatial datasets. You will learn how to access global datasets, preprocess satellite imagery, and apply advanced analytical techniques for environmental monitoring, land use mapping, and climate change assessments. With practical exercises and real-world projects, you will develop the skills needed to perform geospatial analysis efficiently and accurately. By the end of this course, you will confidently manage and analyze big geospatial data while leveraging cloud computing resources.
What You’ll Learn
- Introduction to Google Earth Engine and its ecosystem
- Handling and processing large-scale geospatial datasets
- Satellite imagery analysis and remote sensing techniques
- Time-series analysis for environmental monitoring
- Land cover classification and change detection
- Visualization and presentation of geospatial data
- Advanced scripting with JavaScript and Python APIs in Google Earth Engine
Requirements
- Basic understanding of GIS and remote sensing concepts
- Familiarity with programming (Python or JavaScript recommended)
- A computer with internet access to run Google Earth Engine
About the Publication
This course is curated by experienced geospatial analysts and educators with years of hands-on experience in Earth observation and environmental data science. Their expertise ensures practical and actionable learning for both beginners and professionals.
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