A Tiled EO Data Cube Based on BeiDou Grid

Earth Observation (EO) technology plays an essential role in monitoring environmental challenges and assessing the impact of human activities. As the field of Earth observation enters the era of big data, the exponential growth in data volume presents new challenges for data management and storage. To enhance the efficiency of data sharing and analysis, effectively subdividing and managing these vast datasets becomes crucial. This study proposes an innovative tiling method for three-dimensional EO data cubes, organizing the spatial dimension according to the BeiDou grid and subdividing the third dimension into regular or irregular segments based on specific requirements. By segmenting the data into manageable chunks, this method allows users to select appropriate data for particular application scenarios, reducing data redundancy and improving processing efficiency through smaller data volumes, thereby significantly enhancing the accessibility and utility of the data. This not only simplifies the process of utilizing EO data but also greatly facilitates the effective application of Earth observation information.