# GF-1 Satellite Imagery Data Service and Application Based on Open Data Cube
###### Abstract
on the basis of ODC research, Chinese scholars have mostly adopted cloud storage strategies for long-time-series water body index and vegetation index analyses [33] or land coverage and land-use dynamic mapping [34; 35]. However, localized data management requirements have seldom been considered, thus not satisfying the higher security requirements of satellite imagery data. Therefore, ODC has been initially applied worldwide, but its applications can still be improved and expanded in certain areas. Specifically, in terms of Analysis Ready Data (ARD) generation for ODC, international Landsat and Sentinel imagery data are usually processed in advance by the data distributors, while Chinese imagery data require user processing, which exerts an extra burden on the users. Secondly, compared with other countries, ODC applications are less extensive in China, and open-source tools for loading and managing Chinese imagery data are especially needed. The reason is that complex data loading and application with the ODC framework often constitute high technical barriers that greatly limit its application. To remedy these limitations, we discuss the implementation of a GF-1 imagery data management framework based on ODC grids,which proved significantly superior in terms of time efficiency and spatial efficiency to the traditional scene-based data management approach. The work of this paper is truly an improved and modified version of ODC, which can realize the data loading and application support of China GF-1 satellite image data. However, the original ODC did not have the ability for direct GF-1 image data loading and application support. To obtain GF-1 imagery ARD, we conducted preprocessing operations such as radiometric calibration and geometric normalization for the GF-1 imagery data, which solved the problem that raw Chinese imagery GF-1 data could not be directly managed by ODC. Considering the basic development template of ODC and the characteristics of the GF-1 imagery data, we proposed a batch data loading method specific to the EO mode so that standardized GF-1 imagery data loading and management could be achieved in ODC grids. For the storage and management of GF-1 image data, the traditional method was scene-based. ODC-based data management is a new paradigm. The Miyun Reservoir in Beijing, China, was selected to verify the usability and superiority of the proposed framework. Using GF-1 imagery data from 2014 to 2021, we conducted spatial and temporal analyses on the long-time-series imagery data of vegetation and water bodies in the Miyun Reservoir and the surrounding area. The GF-1 imagery data processing efficiencies of the ODC grid-based approach and the scene-based method were compared in terms of processing time and memory occupation. The remaining sections are arranged as follows: Section 2 introduces the research methodology and outlines the ODC grid-based Chinese GF-1 spatial and temporal satellite imagery data management framework. A case study is designed and conducted in Section 3. Section 4 summarizes the research results and lists future work directions.