The document contains the Galileo E6-B and E6-C codes specifications, including primary and secondary codes and their assignment to satellites, which is necessary for manufacturers who are developing Galileo E6-B/C enabled receivers.
The technical note represents the first step for these forthcoming Galileo services: high-accuracy service (HAS) and commercial authentication service (CAS) on E6-B/C signal.
Anyone with questions can use the Contact Form at the GSC web portal’s Help Desk.
This year marks 50 years since man first set foot on the moon. The Apollo-11 spaceflight landed on the moon on 20 July 1969, and just a few hours later Neil Armstrong and Buzz Aldrin were the first two humans to step onto the lunar surface. The breathtaking photos of our planet taken from the moon – also the famous Earthrise photograph taken in December 1968 during the Apollo 8 mission – have since become some of the most iconic pictures ever. However, these were not the first images of Earth captured from space; the first satellite photographs of Earth were taken on by the U.S. Explorer 6 in August 1959. To be honest those images didn’t give us much information, comments Wim van Wegen in his latest contribution to 'GIM International'. For example, the first image showed only a sunny area of the Central Pacific Ocean and its cloud cover. Now, 60 years later, it’s impossible to imagine life without satellite imagery.
The evolution and rise of satellite technology has brought us an extra dimension. Satellite imagery is available everywhere nowadays, not least thanks to Google Earth – launched in 2001 – which renders a 3D representation of our planet built on satellite imagery. It combines satellite images, aerial photography and GIS data to create a 3D globe, including photorealistic 3D imagery of hundreds of cities all over the world. Google Earth uses digital elevation model data acquired by NASA’s Shuttle Radar Topography Mission.
Generation Y (also known as the ‘millennials’) and especially generation Z – the ‘digital natives’ – take satellite imagery and its many applications for granted. But it is all the result of endless trial and error, a lot of pioneering work, continuous innovation and the unmeasurable brain capacity of some of the smartest scientists in the world. Satellite imaginary has made an immense impact on many aspects of life, ranging from cartography, hydrology and meteorology to agriculture, geology and intelligence. It has enriched society with countless new solutions to improve our daily lives – and it will be a key tool to overcome some of the most urgent problems currently faced by our planet.
Sometimes the methods for tackling these problems are surprisingly less complicated than one would expect. A striking example of this is the Farmer-managed natural regeneration (FMNR) technique used in Niger and some of its neighbouring countries. In the Sahel, a gigantic region in northern Africa that comprises a belt of over 1,000km from north to south and 5,500km from the Atlantic Ocean to the Indian Ocean, desertification is a major issue. 12 years ago, satellite images were key in Chris Reij, a Dutch sustainable agriculture expert at the World Resources Institute, ascertaining the extent of the greening phenomenon known as FMNR: 250 million trees across six million hectares. FMNR proved to be a way more successful method than the prestigious – and expensive – Great Green Wall, the flagship initiative to combat the effects of climate change and desertification in North Africa.
The satellite industry is a high-cost industry, but it also generates solutions that save money and make the world a better place. The natural regeneration project in Niger is an example that gives new hope and inspiration for a sustainable future – not only for the generations Y and Z, but also for their descendants.
While the demand for satellite imagery and value-added services soars in the Earth observation (EO) market amidst the global space race 2.0, enhanced resolution is driving the creation of a queryable digital Earth. We are fixed on a rapid growth curve towards real-time intelligence in under five years, writes Kolemann Lutz in a new column for 'GIM International'. By sharing the true potential and benefits of real-time imagery, we can better help communities enjoy worthwhile life improvements. Hence, as the capacity of ecosystems thrusts towards a period of hyper-acceleration and an unimaginable reality, imaging satellites will be a key driver in the development of the human race.
As industries gravitate towards capital demand, developing the global economy begins from the ground up. From predicting poverty to resolving water sustainability and revolutionizing farming in rural communities, geospatial insight is a powerful alternative dataset to bolster the quality of life in developing nations. By aiding NGOs with affordable product rates and by supporting philanthropic efforts of large corporations, the EO community is helping mankind estimate when we will achieve each UN Sustainable Development Goal. The Group on Earth Observations (GEO) provides a robust 2030 Agenda to help us better achieve sustainable development. As stated by Gary Watmough, geospatial researcher at the University of Edinburgh, “the use of satellite images makes it much cheaper to keep track of how far we are in reaching the United Nations’ goals for sustainable development."
Given that our careers and capacities are driven by intrinsic passions, individuals in the remote sensing field can gravitate towards any sector of interest. Extractable geomatics may be one of the most influential datasets to reduce the time and costs of permitting approval, smart regulation and construction projects specific to foreign direct investment and infrastructure development. By recognizing the capabilities and performance empowerment of real-time imagery data analytics on processes, critical path methods and time-cost savings evaluations across every industry, we can better express the profound benefits of how geospatial insight is transforming the way we do business.
With the plummeting cost of imagery data and diminishing barriers to space, satellite-derived solutions with IoT, sensor and financial archives are transforming the predictive era. Reliable and scalable machine-learning computation is manifesting next-generation products akin to the real-time simulation of global supply chains and distribution networks with progressive economic development rates from a host of geospatial variables in national ecosystems. From forecasting the movement of trade across our skies to predicting resource demand and supply levels, we can begin to capitalize on market trend fluctuations on any scale right from the start. By incentivizing bilateral relations in the geospatial domain between governments and international entities, we can democratize access to Earth observation.
“That’s when we will evolve this smaller industry, which is about a US$5 billion addressable market, to be part of the business-to-business information services economy, a US$100 billion to US$200 billion industry. That’s what we’re focused on,” said Robbie Schingler, co-founder of Planet Labs. To grow into a US$200 billion industry, we can communicate the substantial life and community improvements of what the Earth observation industry will be capable of in under five years. We can better convey long-term savings from real-time insight from high-resolution imagery to decision-makers in end-user markets to accelerate approvals of financial resources.
The growth in capital demand not only enables us to expand satellite systems, but also to embrace higher risk for exponential technologies such as synthetic aperture radar, alternative propulsion sources, on-orbit servicing, quantum software-defined spacecraft and 3D printed extraterrestrial structures by capitalizing on cost-saving evaluations from exponential technologies. Advancements in Earth observation and satellite technology are establishing foundations for humanity to accomplish the unthinkable in deep space exploration.