EPSOSS takes advantage of the high investments made by the European countries and their international partners in ES data collection and dissemination systems (e.g. satellites, in-situ networks, ICT frameworks) and builds on top of those systems an added value application (geoportal) for the scientific community and the Black Sea relevant decision makers on environmental issues. ESPOSS offers: - Friendly interface - easy to use graphical user interface and intuitive workflows. - 10 000+ satellite derived data layers - the product portfolio includes: Sea surface temperature, chlorophyll concentration, diffuse attenuation coefficient, total suspended matter, etc. - Modern architecture - ESPOSS architecture design is driven by service-oriented architecture design principles, and use open standards from IETF, W3C, OASIS, ISO/TC 211, and OGC. - Open source based - ESPOSS GeoPortal is built completely with free and open source software. - Modular and scalable - the geoportal is based on a modular and scalable software architecture that enables an efficient deployment, control, and management of active services. - Network services - implements Open Geospatial Consortium (OGC) standards for data retrieval (WMS, WCS, WFS) and server-side processing (WPS). - Active community - fast growing international user community. - Powerful visualizations - effective data visualization methods, suitable for analysis of big volumes of multi-temporal data. - Server-side processing services - currently the service has interfaces for the following types of geospatial processing functions: buffer, clip, resample, profile and raster algebra.

LCA stands for Land Cover Analysis and is used to provide an up to date, digital overview of what covers the surface of our earth split out into 10 key land cover classes. The LCA is often the first step in many environmental monitoring or site selection processes.

The complexity of modern urban environments has led to the introduction of 3D Land Information Systems (LISs), which tend to replace traditional 2D LIS architectures for the purposes of urban planning and regeneration, land administration, real estate management and civil development. Both the need for 3D visualization of the geometry of buildings in various time instances through the years and the need for acquisition of 3D models in various levels of detail (LoDs), which not only fulfill the requirements of the various users but also they speed up the visualization process, are obvious. Thus, additional dimensions, that is, for time and scale, need to be supported by a modern LIS. This service introduces a 5D modelling pipeline that may be adopted by a multi-purpose LIS for the selective creation of 3D models of an urban area in various time instances and at various LoDs, enriched with cadastral and other spatial data. The methodology is based on automatic change detection algorithms for spatial-temporal analysis of the spatial changes that took place in subsequent time periods, using image orientation, dense image matching and structure from motion algorithms, the procedure requires photogrammetric stereo plotting, implements procedural modelling and relies on the availability of overlapping aerial and terrestrial imagery, ground control points and cadastral information.

NEO is monitoring trees using satellite data and deep learning methodologies. This service informs people about the status of different trees species in their surrounding/municipality. Trees managed by municipalities can be checked on presence and correct attributes such as tree height.