In the face of accelerating industrialization and urbanization, the globe has witnessed an unprecedented surge in resource consumption, leading to severe ecological degradation and posing a significant threat to the ecological security of natural resources. As such, safeguarding the ecological integrity of these resources has become a pressing concern for governments, researchers, and environmentalists worldwide. Among the various tools and platforms available for monitoring and managing natural resources, Google Earth Engine (GEE) stands out as a powerful and versatile cloud computing platform that facilitates the comprehensive analysis of Earth's big data. GEE has revolutionized the way we approach the ecological security of natural resources by enabling researchers to evaluate, predict, and formulate pre-plans with unprecedented accuracy and efficiency. This cutting-edge platform integrates a vast array of satellite imagery, remote sensing data, and other geospatial information, providing a holistic view of the Earth's ecosystems. By leveraging the power of big data and cloud computing, GEE allows researchers to monitor changes in natural resources over time, identify potential threats, and develop targeted intervention strategies to mitigate environmental degradation. The applications of GEE in managing natural resources are vast and varied. For instance, in the realm of forestry, GEE has been instrumental in monitoring deforestation rates, assessing forest health, and predicting future trends. In agriculture, it has aided in the precise mapping of arable lands, the monitoring of crop health, and the optimization of farming practices. Similarly, in grassland management, GEE has facilitated the assessment of grazing pressure, the monitoring of biodiversity, and the formulation of sustainable grazing strategies. Despite its many advantages, GEE is not without its limitations. One of the primary challenges lies in the quality and availability of data. While GEE provides access to a wealth of geospatial information, the accuracy and completeness of this data can vary significantly. This necessitates a thorough understanding of data sources and the application of advanced data processing techniques to ensure the reliability of analysis results. Another challenge lies in the complexity of ecological systems. Natural resources are intertwined in a delicate balance, and any change in one component can have far-reaching consequences for the entire ecosystem. As such, researchers must employ a multidisciplinary approach, integrating knowledge from fields such as ecology, geography, and environmental science, to fully comprehend the implications of their findings. To overcome these challenges and further enhance the capabilities of GEE in managing natural resources, there is a need for continued research and development. This includes refining data processing algorithms, exploring new data sources, and developing more sophisticated models to predict ecological changes. Additionally, promoting data sharing and openness among researchers and institutions can foster collaboration and accelerate the pace of innovation in this field. In conclusion, Google Earth Engine has emerged as a pivotal tool in the quest for ecological security of natural resources. By harnessing the power of big data and cloud computing, it has enabled researchers to gain deeper insights into the functioning of ecosystems and to develop more effective strategies for their protection and sustainable use. However, to fully unlock its potential, there is a need for ongoing research, collaboration, and innovation. Only through a concerted effort can we ensure the long-term ecological security of our planet's invaluable natural resources.