Spatial Analysis and Satellite Imagery in GIS

Geographic data holds the key to solving complex real-world challenges, from urban planning to environmental conservation. Understanding how to unlock this data through spatial analysis and satellite imagery is an essential skill for modern analysts. This course guides you through the foundational concepts of Geographic Information Systems (GIS), teaching you how to manipulate vector data, analyze raster satellite imagery, and automate your workflows. You will transition from understanding basic map layers to executing advanced spatial queries and interpreting remote sensing data. What you'll learn: - Understand core GIS terminology, coordinate reference systems, and spatial data models. - Query and filter vector datasets to isolate specific geographic features and attributes. - Analyze spatial relationships using proximity, overlay, and buffering techniques. - Process satellite imagery to identify environmental changes and land cover patterns. - Configure automated spatial workflows using visual model builders and modern GIS tools. - Apply modern cloud-optimized data standards to efficiently access global terrain and imagery datasets. The course begins with the absolute basics of spatial data structures and mapping coordinates. You will then progress through practical written scenarios involving vector analysis, remote sensing interpretation, and workflow automation. Designed entirely for beginners, this text-based course requires no prior GIS experience or programming background. Start your journey into spatial data science and learn to map the world around you today.