Research Landscape of Google Earth Engine: A Comprehensive Review of Domestic and International Studies
Cheng Yun  zhuang Haihai

Shaanxi Agricultural Development Group Co., Ltd. 710075;

Abstract：Google Earth Engine (GEE), a cloud-based geospatial processing platform, has transformed large-scale environmental monitoring by integrating petabytes of satellite data with high-performance computing. This review synthesizes cutting-edge applications across agriculture, hydrology, and ecology, drawing on 76 peer-reviewed studies (2020–2025) from China and globally. In China, research prioritizes agricultural monitoring (e.g., cropland extraction in Liaoning with >85% accuracy) and water resource management (e.g., Yellow River morphology analysis). Internationally, studies focus on wildfire impact assessment and  precision farming (e.g., FAO’s global drought monitoring). Despite advancements, challenges persist in data resolution, algorithm complexity, and validation. Future directions include integrating edge computing and pre-trained AI models to democratize access. This analysis underscores GEE’s role in achieving sustainable development goals through planetary-scale geospatial analytics.

Keywords：Google Earth Engine；Big date；Cloud computing；Remote sensing

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