## 1 Introduction
In 2018, the European Commission publicly launched the Copernicus Data and Information Access Services (DIAS). These cloud-based systems not only allow access to EO datasets but also provide processing resources and tools for data analytics and allow for a scalable computing environment [38]. Similarly, NASA's Alaska Satellite Facility (ASF) has provided a platform for archiving and distributing Sentinel-1 data at ASF Distributed Active Archive Centers (DAAC). Besides the Sentinel-1 data, ASF DAAC is storing data from a variety of different SAR sensors, including both historic and modern missions. The data are distributed using Vertex, ASF's data search website, as well as ASF's Application Programming Interface (API). These platforms have reduced technological barriers for conducting large-area mapping and thus maystimulate a surge of global or regional maps. With these platforms, it is much easier to process these data remotely in the cloud without downloading large datasets to a local computer. However, they are mainly focused on the provision of data with some preliminary processing tools and are not designed to mass produce products for non-specialist users and make them openly accessible. Besides the above-mentioned platforms, ESA has developed \"EO Exploitation Platforms\" that represent a set of research and development activities aimed at the creation of an ecosystem of interconnected \"Thematic Exploitation Platforms (TEPs)\". TEPs are collaborative, virtual work environments providing access to EO data and the tools, processors, and computing resources required using one coherent interface. The TEPs have been implemented to address the most important topics in remote sensing i.e., Coastal, Forestry, Hydrology, Geohazards, Polar, Urban, and Food Security [39]. For the context of this paper concerning applications to tectonics, earthquakes and volcanoes, it suffices to introduce the Geohazard Exploitation Platform (GEP). GEP is ESA's web-based platform that is specially designed to exploit EO data for assessing geohazards associated with active seismicity, volcanism, subsidence, or landslides [40]. GEP serves as a user-friendly interface to run various web tools implemented in the ESA's Grid Processing on Demand (G-POD) environment [41]. Some of these web tools can be used for the generation of differential interferograms (e.g., DIAPASON) or for multi-temporal InSAR processing, especially based on implementation of Small Baselines (SB) algorithms [42]. GEP is based on a collaborative work environment for the development, integration and exploitation of different services [43]. Although the focus of GEP services is on the on-demand processing for specific user needs, it has also developed services aiming at the systematic processing of selected volcanoes and some priority tectonic zones. For instance, the GEP's Sentinel-1 High-Resolution InSAR Browse Service provides the InSAR products for 22 selected volcanoes. This service does not cover any of the tectonic zones. Alternatively, the GEP's Sentinel-1 Medium-Resolution InSAR Browse Service covers 38% of the world seismic mask, which represents over 15% of the Earth's land masses, established by the Committee on Earth Observation Satellites (CEOS) based on [44]. Unlike the limited coverage by the GEP services, the Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR) system covers 1024 global volcanoes and aims to fully cover the CEOS world seismic mask area. With slightly different aims, NASA Jet Propulsion Laboratory (JPL) has developed an Advanced Rapid Imaging and Analysis (ARIA) system, which automatically generates SAR-derived data products, primarily from the Sentinel-1 mission. It incorporates an automatic processing chain to generate co-seismic interferograms in response to major earthquakes and recently it has begun to provide standard InSAR displacement products, allowing users to circumvent the use of specialized radar processing software altogether and make InSAR products more accessible for science applications [45].