Designing a remote sensing analysis and visualisation interface on cloud computing platform: Google Earth Engine case

This thesis focuses on developing a web platform based on Google Earth Engine and Django to simplify geospatial data analysis and visualization for users. Geospatial data analysis and visualization are critical for fields such as environmental monitoring, urban planning, and natural resource management. However, existing tools are often complex and not user-friendly. This study aims to provide a platform that enables users to leverage Google Earth Engine's powerful data processing capabilities to perform basic analyses and visualize geospatial data. To demonstrate the platform's capabilities, examples of analyses and visualizations will be provided based on regional data from Turkey. The developed platform offers a user-friendly interface, aiming to deliver a practical approach to geospatial data analysis.