Satellite Imagery and Geospatial Data Analysis Fundamentals

Unlocking earth observation data allows analysts to solve critical challenges in environmental monitoring, urban planning, and resource management. This course introduces you to the essentials of working with satellite imagery and spatial data without needing prior experience. You will start with foundational GIS concepts and progress to practical workflows for spatial problem-solving. What you'll learn: Understand core geospatial concepts, coordinate reference systems, and raster versus vector data formats. Learn to acquire, inspect, and pre-process satellite imagery from open data sources. Apply spectral indices like NDVI to analyze vegetation cover and land surface changes. Process spatial datasets using modern Python tools like GeoPandas and Rasterio. Practice solving practical geospatial engineering problems through step-by-step written exercises. You will begin with essential terminology, basic definitions, and data principles before moving on to practical data processing workflows. Through clear written explanations and structured code examples, you will develop a functional toolkit for geospatial analysis. This course is ideal for beginners, students, and entry-level analysts with no prior GIS experience required. Begin your journey into earth observation and spatial data analysis today.