BUILD AN EARTH OBSERVATION DATA CATALOGUE

WITH NO scaling LIMITS

21 January 2022, Media Release

Increase value of EO data

Earth Observation (EO) data providers must facilitate consumption of data by making it easier for users to find what they want.

If you have in place an Earth Observation products archive that is not working as envisioned, you may be thinking of updating it. Or maybe, you are setting up a new one, and would like to do it correctly. EO data is constantly changing and a great catalogue must also adapt. Building a reliable and scalable display of your EO data is not easy but this is now possible thanks to big data technologies.

Using these technologies, Gisaïa developed ARLAS EO. A software solution to save you the time it takes to build a robust EO catalogue from scratch.

A great catalogue makes all perimeters from Earth observations accessible; satellite images, remote sensing data, measurements from ocean, land and atmospheric stations. ARLAS EO accelerates and guarantees the valorisation of all your EO data with a catalogue that scales with your archive.

67 years after “Sputnik 1” provided the first potential for meteoroid detection from orbit in 1957, no one knew where Earth’s observations would be. After all, it had taken over 70 years to put what Konstantin Tsiolkovsky had written in his book outlining how this could be put into action. Since Sputnik 1, more satellites have been launched into space, collecting and sharing valuable information about our planet. They are not the only ones. There are currently other data sources derived from ground-based, sea-borne, or air-borne monitoring systems, as well as geospatial reference or ancillary data. All these, combined, provide rich information that supports data-driven evidence on spatio-temporal patterns of human activities or natural processes.

Build a robust EO catalogue

But this data is growing vast and fast. It is big, complex and hard to use. We are now faced with big Earth data sets that can accelerate understanding, modelling, and predicting natural and physical processes. While it is great, it is also a challenge. Showcasing all these products in the same container is not easy. Catalogues assist and support users to make effective use of satellite imagery and space remote sensing derived products. But with the data volume growing by the minute, only a robust Earth Observation catalogue can scale with need and use.

Enhance EO product discovery

National bodies like space agencies and research centers have a quest to understand the past, current, and future states of the human and Earth systems. Business institutions too seek this information. They are looking for change detection, object identification and classification, and other patterns of life in the Earth Observation products and derived products. This supports policies, planning and execution activities.

An enhanced filtering system is ideal to make sure that they are looking at the right product from the millions available. This not only saves time, it limits errors in basing one’s decision on the missing data. Users then make selections after looking at all possible options. It provides all users with optimal access to Earth Observation data and Geospatial information.

Facilitate EO products consumption

There has been more push to strengthen national and regional capacities in Earth products and derived products consumption. This has been followed up with open data policies like access to Sentinel 1 and Sentinel 2 data among others. In the Earth observation industry, open data is the downstream catalyst for value addition and innovation in the field. Many sectors currently benefit from insights provided by EO research: water management resources, sustainable urban development, public health surveillance, infrastructure and transport management, food security and sustainable agriculture, energy and mineral resources management, disaster resilience, biodiversity and ecosystem management, telecommunication and even insurance. All for resource tracing and management.

But consumption of the products is not as fast and extensive as expected. EO product providers must facilitate consumption by making it easier for users to find what they want. Maybe even making it possible to discover what they need.

Setting catalogue permissions to access based on usage could be an option to limit frustrations where users do not need to see everything. This can also be a great way to enhance security on how the data is used.

Increase value of EO data

While Earth Observation products already provide invaluable information, derived products and augmented products are key to drawing the real picture. A great catalogue takes in all perimeters from Earth observations — satellite images, remote sensing data, measurements from ocean, land and atmospheric stations and all other in situ measurements may be used to show real, near real-time, and historic weather, vegetation, water and population patterns. It facilitates data-intensive science.

Showcase all available EO data in one place

Having a clear window to what is available in your product catalogue will most definitely increase appreciation and promote value-added services. Value-added services are hailed as key enablers of the Earth Observation downstream science and market.providers’ market is growing, and competition, like in other sectors, will favour those who provide a positive user experience when; searching, discovering, and exploring available products.

Now more than ever, catalogues have to be intuitive and responsive besides being informative.

Data-driven evidence

Earth Observation data – products and derived products are key in ensuring that we use data-driven evidence in sustainable management of the environment and resources, security, and to reveal sustainable business opportunities. This will further promote the adoption of Earth Observation products and derived products for other uses that we have yet to identify.

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contact@gisaia.com

About Gisaïa:

Gisaïa brings eight years of geo-big data analytics expertise, and a robust geo-analytics solution, “ARLAS^Ⓡ to help accelerate EO data consumption. The ARLAS framework has been tried and tested in diverse use cases for geospatial intelligence, especially in Earth Observation data optimisation.