Geo-imagery management and statistical processing in a regional context using Open Data Cube

TL;DR

This paper presents a methodology and system architecture for managing and processing geo-imagery data using Open Data Cube, enabling non-expert users to perform automated data analysis and generate statistical summaries of Sentinel-2 imagery in a regional context.

Contribution

The paper introduces a new system for automated geo-imagery data management and processing tailored for non-experts, with a focus on regional applications using Sentinel-2 data.

Findings

Automated data ingestion and manipulation capabilities implemented.

System successfully generates statistical summaries for regional Sentinel-2 data.

Application demonstrated in the Basque Country for polygonal cultivation areas.

Abstract

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).