Policy for Robust Space-based Earth Science, Technology and Applications

Satellite remote sensing technology has contributed to the transformation of multiple earth science domains, putting space observations at the forefront of innovation in earth science. With new satellite missions being launched every year, new types of earth science data are being incorporated into science models and decision-making systems in a broad array of organizations. Policy guidance can influence the degree to which user needs influence mission design and when, and ensure that satellite missions serve both the scientific and user communities without becoming unfocused and overly expensive. By considering the needs of the user community early on in the mission-design process, agencies can ensure that satellites meet the needs of multiple constituencies. This paper describes the mission development process in NASA and ESA and compares and contrasts the successes and challenges faced by these agencies as they try to balance science and applications within their missions

The Φ-Sat-1 mission: the first on-board deep neural network demonstrator for satellite earth observation

Artificial intelligence is paving the way for a new era of algorithms focusing directly on the information contained in the data, autonomously extracting relevant features for a given application. While the initial paradigm was to have these applications run by a server hosted processor, recent advances in microelectronics provide hardware accelerators with an efficient ratio between computation and energy consumption, enabling the implementation of artificial intelligence algorithms 'at the edge'. In this way only the meaningful and useful data are transmitted to the end-user, minimising the required data bandwidth, and reducing the latency with respect to the cloud computing model. In recent years, European Space Agency is promoting the development of disruptive innovative technologies on-board Earth Observation missions. In this field, the most advanced experiment to date is the Φ-sat-1, which has demonstrated the potential of Artificial Intelligence as a reliable and accurate tool for cloud detection on-board a hyperspectral imaging mission. The activities involved included demonstrating the robustness of the Intel Movidius Myriad 2 hardware accelerator against ionising radiation, developing a Cloudscout segmentation neural network, run on Myriad 2, to identify, classify, and eventually discard on-board the cloudy images, and assessing of the innovative Hyperscout-2 hyperspectral sensor. This mission represents the first official attempt to successfully run an AI Deep Convolutional Neural Network (CNN) directly inferencing on a dedicated accelerator on-board a satellite, opening the way for a new era of discovery and commercial applications driven by the deployment of on-board AI

Space Applications Institute Annual Report 2000

Abstract not availableJRC.(SAI)-Space Application Institut

21st Century Energy Production & Resulting Impacts on Society

Our project examines current alternatives to fossil fuels and evaluates their drawbacks and benefits in relation to specific applications in 21st Century society. It provides information concerning future research and development for each respective technology. Due to the limitations of fossil fuels, the authors believe further research should be conducted in solar, wind, nuclear, and emerging energy sources as these have the most potential for improvement and utilization in a world with ever increasing demand for sustainable energy resources

New possibilities for science ESA's operational Sentinel missions

International audienc

ESA's operational sentinel missions

International audienc

Ensuring the Safe Production of Natural Gas

Growing demand for natural gas in the U.S. has led to an increase in hydraulic fracturing in the Marcellus Shale region of PA. The goal of this project was to recommend best practices to the U.S. Department of Energy for hydraulic fracturing. First, industry practices for well drilling, cementing, and casing were analyzed. A System-Theoretic Process Analysis was used to identify weaknesses that could lead to loss of wellbore integrity; and a blowout preventer system was designed to mitigate this hazard. Second, contaminants in hydraulic fracturing fluids were identified and a mobile onsite wastewater treatment system using reverse osmosis was designed to remove fracturing chemicals, radium, and solids. Lastly, recommendations were made to improve the safety of natural gas recovery

Capnocytophaga canimorsus sepsis: two clinical cases at the Bolzano Regional Hospital

Capnocytophaga canimorsus is a commensal bacterium in the oral cavity of dogs and cats and has been isolated from humans with a history of dog or cat bites or scratches. C. canimorsus are capnophilic facultative anaerobic, fastidious gram negative fusiform rods, included in the CDC group DF-2 or dysgonic fermenter 2. The bacterium can cause severe illness in patients at elevated risk i.e. after splenectomy, with alcohol addiction, chronic lung or liver diseases or immunosuppression. In 2010 at the Bolzano Regional Hospital (Northern-Italy) C. canimorsus was isolated from blood cultures in two splenectomised patients suffering from septicaemia.The bacterium is difficult to cultivate because of its specific requirements for nutrients as well as to identify with routine automated instruments; therefore we used molecular typing by 16S rDNA sequencing.The true number of C. canimorsus infections is probably underestimated due to the fastidious growth of the organism. However, given the severity of the disease and the poor outcome one should consider this bacterium to apply appropriate diagnostic methods for this etiologic agent