Geo-imagery management and statistical processing in a regional context using Open Data Cube
This work addresses data management challenges for non-expert users in regional geo-imagery analysis, but it is incremental as it builds on existing Open Data Cube technology.
The paper tackles the problem of managing and processing remote sensing and geo-imagery data for non-expert users by proposing a methodology that provides automated data ingestion and manipulation, demonstrated in a use case to generate statistical summaries of Sentinel-2 regions for cultivation areas in the Basque Country.
We propose a methodology to manage and process remote sensing and geo-imagery data for non-expert users. The proposed system provides automated data ingestion and manipulation capability for analytical data-driven purposes. In this paper, we describe the technological basis of the proposed method in addition to describing the tool architecture, the inherent data flow, and its operation in a specific use case to provide statistical summaries of Sentinel-2 regions of interest corresponding to the cultivation of polygonal areas located in the Basque Country (ES).