PML's mission is to pursue research excellence to support our vision of a healthy and sustainable ocean, through the delivery of impactful, cutting-edge environmental and social science.
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PML employs a combination of traditional and advanced scientific methods, utilising the latest in digital technologies such as Artificial Intelligence (AI) and machine learning to help us quickly and efficiently collect, visualise and interpret increasing quantities of environmental and biological data.
Coastal; Marine ecosystem; Travel, Tourism and Leisure
Visibility in the water is a safety factor in both recreational and commercial diving as well as a large factor in the enjoyment of recreational diving. Visibility can be affected by many factors or variables which can be measured from space. To enable the use of earth observation data in these user focused downstream services we will create a location based middleware web service that provides near real time (NRT) visibility information for a specific location based on EO data.
Coastal, Marine ecosystem, algal bloom, ocean colour compositte, sea surface temperature, turbidity, chlorophyll-a concentration, Maritime, Local and regional planners
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.
Agriculture, Infrastructure, Coastal, Floods, Forests, Inland Water, Land Ecosystems, Land use, Landslides, Sea-ice and icebergs, Snow & Ice, Topography, Urban Areas, Security, Assess Environmental impact of farming, Monitor crops, Assess Deforestation / Forest Degradation, Assess environmental impact of forestry, Assess and monitor water bodies , Monitor land ecosystems and biodiversity, Monitor land cover and detect change , Baseline mapping , Map line of sight visibility (land surface), Asset infrastructure monitoring, Monitor coastal ecosystem, Monitor the coast line, Map and assess flooding, Detect and monitor wildfires, Forecast and assess landslides, Monitor sensitive risk areas, Forecasting epidemics and diseases, land administration, land use studies, monitoring of settlements, urban atlas, urban development, smart cities, rural areas, building inventory, building footprint, spatial planning, land cover, Solar energy, Construction, Forestry, Real-estate management, Transportation
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.
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