Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review

Remote sensing (RS) plays an important role gathering data in many critical domains (e.g., global climate change, risk assessment and vulnerability reduction of natural hazards, resilience ecosystems, urban planning). Retrieving, managing, analyzing large amounts RS imagery poses substantial challenges. Google Earth Engine (GEE) provides a scalable, cloud-based, geospatial retrieval processing platform. GEE also access to the vast majority freely available, public, multi-temporal offers free cloud-based computational power for analysis. Artificial intelligence (AI) methods are enabling technology automating interpretation imagery, particularly on object-based domains, so integration AI into represents promising path towards operationalizing automated RS-based monitoring programs. In this article, we provide systematic review relevant literature identify recent research that incorporates GEE. We then discuss some major challenges integrating several priorities future research. developed interactive web application designed allow readers intuitively dynamically publications included review.