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Furthermore, project partners are all involved in a concrete effort to develop a wide set of solutions with the objective to facilitate RPAS insertion into unsegregated airspace to provide aerial EO services. In this framework, cyber security is pre-requisite for safe, secure and effective operations and trustful EO data. Show Hide Abstract Earth Observation is day by day increasing its role in providing valuable data for a number of social tasks, from emergency management, to territory assessment, to precision farming just to mention a few of them.
In the last few years, space Earth Observation has been joined by aerial Earth Observation exploiting flexibility of Remotely Piloted Aircraft System RPAS , that are, indeed, able to overcome some of the constraints of satellite observation. RPAS can provide continuous observation up to 24 hours or more , reach areas inaccessible to satellite due to natural or manmade obstacles, observe vertical infrastructures, and provide high resolution images. At the same time, RPAS operations are very very constrained by global flight regulations.
The research infrastructure is composed of an aerial simulation system where flight tests and missions can be simulated and validate, of ground sensors through which air space is surveilled during flight test and of the Grottaglie Airport and the connected segregable airspace. The simulation environment enable the design and simulate RPAS flight operations in a virtual 3D scenario composed of elevated ground areas and of ground and air traffic.
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Validation of the simulated operation will take in consideration also results achieved quality of data, reaching of the objective, … in the EO mission. Grottaglie Airport Test Bed will provide product test services to RPAS manufacturers and operators, to avionic module and related software developers, to aerial EO service providers and to EO end users.
Services will support operators in experimenting and demonstrating the capacity of their solutions in a real scenarios thanks to the availability of a technological infrastructure for safe and secure aerial experimental operation and for aerial data gathering, processing and post-processing, of the airport facility, of segregated air space and of space services SATCOM and EO.
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DTA, as cluster organization, is realizing the Grottaglie Airport Test Bed in collaboration with a number of industrial and academic players with the objective to have a wide pool of knowledge, competences and technologies and to catalyse the creation of a living lab. Grottaglie Airport Test Bed is an industrial Research Infrastructure and is expected to impact on innovation capacity of European aerospace system.
It is nurturing multidisciplinary innovation be creating collaboration opportunities among space technologies developers, aviation community and academic data analysis experiences, and will contribute to reduce time to market and costs of product development. Massimo Zotti 1 1 Planetek Italia S.
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Show Hide Abstract The reducing costs of satellite data, with the continuous availability of free and open Copernicus data, in conjunction with the power of cloud platforms, provides an unprecedented opportunity to increase the strength of different applications for infrastructures and roads monitoring. At the same time this is a tremendous boost for the internationalization process of Planetek Italia, enabled by the exploitation of Copernicus data and services available worldwide. Their mission is to inspire and to facilitate the use of space technology, systems and know-how for non-space applications.
ESA has been very active in promoting this program in the entrepreneurial scene. For example, the ESA sponsored the Junction hackathon in Helsinki in November , where there were more than 1, competitors. ESA awarded one of the two main prizes to the application HeraSpace for the best idea for the Arctic. HeraSpace helps fishermen to locate the most profitable and sustainable fishing grounds, optimizing operating budgets while reducing environmental impacts.
The system supports healthy food production, income, employment, and sustainable fishing, as described in this Copernicus use case. HeraSpace dynamically predicts and updates fish distribution patterns. By combining Copernicus satellite data with actual fishing data, the selection of optimal fishing grounds can be drastically improved, as well as the efficient routing of vessels to those locations. Particularly interesting are the features aimed at supporting sustainable exploitation of ocean resources, promoting circularity circular economy , low carbon activities by the seafood companies, and the support of current and anticipated environmental regulations by global governments and regional fisheries authorities.
Sentinel 3A has already been calibrated and validated ongoing with in-situ devices. Data from the second satellite, Sentinel 3B, will be available in the middle of The high quality, near-real-time data retrieved from Sentinel 3 includes variables like temperature, salinity, water depth, and dissolved oxygen levels. As the algorithm is applied in a real scenario with an integrated customer feedback loop, the more accurate it becomes.
It helps fishermen by forecasting the closest legal fishing grounds, dynamically updating fish distribution patterns that may become outdated due to climate change, fishing pressure, migration patterns, or typical interannual variability. The algorithm model already has been selected and validated by the ESA Research Service Support and corresponds to the supervised machine learning n-layered neural network model.
HeraSpace is composed of an international and highly-experienced team, with decades of experience in software innovation and remote sensing for international fisheries.
This data is correlated with data from an expert knowledge DB fishing domain , the preferences of the user seafood company, and of course, the logic checks every legal regulation coming from fishing authorities datasets like EMODnet. HeraSpace further envisions itself as a platform for innovations in fisheries management by offering the capacity to reduce the incidental bycatch of sensitive non-target species. For example, the HeraSpace technology should permit the targeting of a species like a tuna or swordfish, but only in locations where interaction with sensitive species like turtles, sharks, marine mammals or other sensitive species are unlikely.
The HeraSpace team is analyzing behavioral and biological patterns, chemical oceanography, bathymetry, temperature structure, oceanic circulation patterns, pelagic life, and other indicators to build appropriate correlations to design the logic to be followed by the algorithm. Once operational within the ESA cloud servers Red Hat Enterprise Linux , HeraSpace will become a tool to harmonize the fishing industry by helping to reduce operational costs, document captures, boost sustainability, and maintain a healthy ocean ecosystem.
HeraSpace downloads spatial data by using a customized dhusget. HeraSpace flux of spatial and non-spatial data will be transparent and unhackable by our Hyperledger- Blockchain tech disruption applied to industry sustainability. Authors 1.
Email: isaacdura heraspace. Email: richard pelagic-concepts. John Hefele 1 , Chris N. The project targets the development, and for the first time ever the in-orbit demonstration, of an Artificial Intelligence based algorithm for cloud detection. For an effective use of the instrument potentiality the information processed from the Tera Bytes of data generated needs to reach the final user in a reasonable time. This pushes the mission to the edge of feasibility, being a very challenging task even for bigger classes of satellites. In order to maximize the quality of the information included in the downloaded data, HyperScout-2 uses its on board processing capability without relying on platform subsystems.
Thus, HyperScout-2 will enable experimental programs to investigate the use of Artificial Intelligence AI for a variety of applications in the field of object detection and data inference. Show Hide Abstract Access premium satellite data from our multi-resolution optical archive, updated on a daily basis. The office possesses a relevant expertise in hydraulic and hydrology; in we develop an innovative and accurate hydrological model coupled with an hydraulic module to produce the efficient early warning system AMICO on Bacchiglione river basin the area of Vicenza, in the North-East of Italy.
Since we would use the most advanced technologies to provide the best prediction available, we are going to improve our early warning system and in general the hydrological model with a specific module to assimilate data from satellite and in general from space.
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The EOPEN project, of which the Office is a partner, is financed under the H program, provides an innovative approach to flood monitoring with the development of an intuitive platform with several dedicated services, able to elaborate satellite data and merge them with hydraulic models and information from social media concept of Citizen Observatory and Citizen Science. The objective of this project is to provide a unique instrument for decision makers for better understand the real time situation and act properly during emergency.
This merge will ensure an empowerment of forecasting system that will be more precise and accurate. This event was an important test also for the use of non EO data during the emergency; in fact, with the analysis of social network and social media in general was detect a flood not mapped for example with emergency services such as Copernicus EMS. The EOPEN platform become very important due to the possibility to use a scalar environment to elaborate huge quantity of data without the necessity to invest into the computing infrastructure.
The impact is very relevant for our task with a reduction in terms of computational time for hydraulic model ensuring the availability of results in advice. This event, finally, underlines unequivocally the importance of satellite data, provided with the platform, to support the hydrological reconstruction of the storm and also in general to support the entire system with distributed data that can complete the ground sensor net to provide precise, trustable and accurate flood forecasts. Show Hide Abstract Nowadays, we observe a rise in publicly accessible Earth Observation EO data leading to a greater number of EO data providers, each potentially having a different data access policy.
These technological differences add knowledge overhead over end users and application developers wishing to take advantage of these data, causing low data usage. EODAG was designed to solve this problem. The data are made available as a labelled multi-dimensional array data structure more specifically, it is the DataArray structure of the xarray Python module that can be exported in the NetCDF scientific data format. In the future, it will directly stream these pixels from the provider to the user.
The plugin system has two levels: the first level provides an abstract interface to EODAG functionalities called topic plugins.
The second level is the implementation of one or more of the first level plugins for a provider. Therefore, it can be integrated into different platforms, and used in different programming languages. It is now being integrated with the Opendatacube project, for easily including EO data into a Datacube, or generating Datacubes on the fly, as shown in the attached figure.
And last but not least: it is Open Source Apache 2.
Show Hide Abstract Geoinformation, location-based services and satellite Earth Observation science and business are playing a central role in the present and future of Digital Economy, in the twofold role of data producer and information provider. Technological investments, consistent political agendas and promising results have concurred to raise significantly the level of expectations that institutions, commercial business and scientific research have towards the Geoinformation sector to provide reliable, trusted, timely and valuable Information Products in multiple domains.
In this context, geoinformation driven services are blooming and growing in several market sectors, consolidating a trend already clear in the past decade and paving the road for the operational uptake into an increasing number of private and public business processes.
National and European Space Programs such as, for example, Copernicus are closely looking at the evolution of the so-called Space Economy to take advantage of sectorial and cross-cutting opportunities to demonstrate the value of geoinformation driven services in wider contexts, ranging from Precision Farming to Fintech, from insurance to Retail and Property Management. Copernicus 2. Public and private investments in space technologies and assets are rapidly changing the scene of commercially available Earth Observation space capabilities. In fact, the high number of space programs announced in the previous years Is now turning into operational assets that are progressively unveiling their potential for multi-daily, high resolution and multi-sensor imaging opportunities, enabling unprecedented CONOPS through the joint exploitation of several space assets federated at different levels space segment, ground segment, end user segment.
Ideally, it is or it will be shortly possible to design geoinformation driven services where the access and tasking of satellite acquisitions can be fully driven by AI algorithms, based on complex rules and enabled by automated machine-to-machine interfaces with multiple Ground Segments. For example, object detection based on SAR data shortly after confirmed though object classification and recognition performed on the basis of fresh Optical data, whose tasking was automatically determined and submitted driven by object detection results from the first SAR image.
Paradigm shift from pixel to information flow and reports is a fundamental trend in this evolution. The quantity of data available from space and generated by new systems is humongous, We need to invest in new algorithms that can manage all them to extract useful information vital for many aspects of our life on the Earth to allow right access to the information in the shortest time possible from space multi sensor multi platforms generated geo spatial data. Business intelligence, agriculture, infrastructure monitoring, emergency services, image intelligence and many services in support to economic activities and the UN Sustainable development Goals.
This is leading today to the power of federation of assets, stressing the importance of complementarity of observation capabilities and the central point of possible joint CONOPS to deliver a new class of geoinformation driven services opening up opportunities in currently underexploited vertical markets as well as in traditional and more consolidated ones.
Show Hide Abstract Free and open data archives and unprecedented observing capacities led to the recent paradigm shift in Earth Observation EO. This has necessitated EO data holdings to be collocated with powerful and distributed compute environments. Here cloud computational infrastructures offer several benefits over conventional in-house solutions including the elasticity and scalability of CPU and storage capacities.