Abstract
The paper describes a new tool called JupyTEP integrated development environment (IDE), which is an online integrated development environment for earth observation data processing available in the cloud. This work is a result of the project entitled “JupyTEP IDE—Jupyter-based IDE as an interactive and collaborative environment for the development of notebook style EO algorithms on network of exploitation platforms infrastructure” carried out in cooperation with European Space Agency. The main goal of this project was to provide a universal earth observation data processing tool to the community. JupyTEP IDE is an extension of Jupyter software ecosystem with customization of existing components for the needs of earth observation scientists and other professional and non-professional users. The approach is based on configuration, customization, adaptation, and extension of Jupyter, Jupyter Hub, and Docker components on earth observation data cloud infrastructure in the most flexible way; integration with accessible libraries and earth observation data tools (sentinel application platform (SNAP), geospatial data abstraction library (GDAL), etc.); adaptation of existing web processing service (WPS)-oriented earth observation services. The user-oriented product is based on a web-related user interface in the form of extended and modified Jupyter user interface (frontend) with customized layout, earth observation data processing extension, and a set of predefined notebooks, widgets, and tools. The final IDE is addressed to the remote sensing experts and other users who intend to develop Jupyter notebooks with the reuse of embedded tools, common WPS interfaces, and existing notebooks. The paper describes the background of the system, its architecture, and possible use cases.
Highlights
Earth observation (EO) data processing is a complex process that requires specialized tools
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Based on the Jupyter approach and extended Python environment integrated with a Docker ecosystem prerogative, it allows for interconnection with most of the existing services (WPS, WMS, TEP interfaces) and tools for geospatial data storage and distribution (PostGIS, GeoServer, Mapnik, etc.)
Summary
Earth observation (EO) data processing is a complex process that requires specialized tools. The functionality of most known programs is implemented permanently, and the user is unable to change the algorithms they contain. There is a group of users who want to expand the capabilities of their software by developing new processing algorithms according to their own concepts for some of the unusual tasks they encounter. These are advanced users, such as engineers or scientists, often with programming skills. Advanced users, including academics, often look for free open-source software, with the aim of building their own solution from the available components. This provides the basis for the question that constitutes the main purpose of this article: Is it possible to create such software based only on open-source components? If so, what would this software be like?
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