The Ceos Data Cube Portal: a User-Friendly, Open Source Software Solution for the Distribution, Exploration, Analysis, and Visualization of Analysis Ready Data

Abstract

There is an urgent need to increase the capacity of developing countries to take part in the study and monitoring of their environments through remote sensing and spacebased Earth observation technologies. The Open Data Cube (ODC) provides a mechanism for efficient storage and a powerful framework for processing and analyzing satellite data. While this is ideal for scientific research, the expansive feature space can also be daunting for end-users and decision-makers who simply require a solution which provides easy exploration, analysis, and visualization of Analysis Ready Data (ARD). Utilizing innovative webdesign and a modular architecture, the Committee on Earth Observation Satellites (CEOS) has created a web-based user interface (UI) which harnesses the power of the ODC yet provides a simple and familiar user experience: the CEOS Data Cube (CDC). This paper presents an overview of the CDC architecture and the salient features of the UI. In order to provide adaptability, flexibility, scalability, and robustness, we leverage widely-adopted and well-supported technologies such as the Django web framework and the AWS Cloud platform. The fully-customizable source code of the UI is available at our public repository. Interested parties can download the source and build their own UIs. The UI empowers users by providing features that assist with streamlining data preparation, data processing, data visualization, and sub-setting ARD products in order to achieve a wide variety of Earth imaging objectives through an easy to use web interface.

Paving the Way towards an Armenian Data Cube

“…It should be added that the web-based User Interface has been developed by CEOS [41] to allow users exploring the mains functionalities of the data cube. However, for developing more…”

“…It should be added that the web-based User Interface has been developed by CEOS [41] to allow users exploring the mains functionalities of the data cube. However, for developing more advanced/tailored applications or services, the Python Application Programming Interface (API) is the preferred choice.…”

Monitoring land degradation at national level using satellite Earth Observation time-series data to support SDG15 – exploring the potential of data cube

“…The objective of the SDC is to support the Swiss government for environmental monitoring and reporting and enable Swiss scientific institutions to fully benefit from EO data for research and innovation. The SDC is based on the Open Data Cube (ODC) software stack which is an open source project providing a common analytical framework for processing satellite data (Killough, 2018;Rizvi, Killough, Cherry, & Gowda, 2018).…”

National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices

“…Currently, the SDC contains 35 years of analysis-ready data of both optical (e.g., Landsat 5, 7, 8; Sentinel-2) and radar (e.g., Sentinel-1) satellite data over the entire country (total volume: 6TB; 200 billion observations) [30]. The SDC is an innovative analytical framework, based on the Open Data Cube software stack [14,31], allowing users to benefit from this new generation of EO data, and in particular minimizing the time and scientific knowledge required to access, prepare, and make it possible to analyze a large volume of data with consistent and spatially-aligned, calibrated observations. The SDC is aiming at contributing to the national Digital Switzerland strategy by (1) supporting innovation and growth, (2) improving efficiency and effectiveness of government investments, (3) improving management of natural resources, (4) stimulating research, (5) generating decision-ready information products, and (6) improving data access and use and enabling new products/services that can transform everyday life.…”