at Paris Space Week
Gisaia will be at Paris Space Week on March 14 - 15, ready to meet and show you how ARLAS Exploration and ARLAS-EO help accelerate Earth observation data exploration and uptake.
February 03, 2022
WHY PARIS SPACE WEEK
Unlike most sectors, Earth Observation sector players do not have many international events that unite stakeholders to explore industry trends. Paris Space Week is one of the few events that bring together many stakeholders from the spatial industry: upstream and downstream markets. Here, participants get to showcase and learn about the latest innovations besides discussing the future of the industry.
This year, Paris Space Week is expecting over 1000 attendees drawn from diverse countries and backgrounds; government, academia, and the private sector. The event presents diverse opportunities for attendees to network through different activities set in their agenda. Gisaïa uses this opportunity to keep up with the industry trends and meet with potential users of our solutions for geo big data analytics.
The Earth observation industry is quickly growing in significance and in size. This is partly due to the increase in new sensors and constellations deployed. They are also of a wide variety and when coupled with innovation in the ground segment, they generate data that is processed and can be distributed widely. The application of artificial intelligence to derive richer analytics and support change detection capabilities helps to reduce the “time to market” from academia to society, for evidence-based decision making.
EO data’s significance in drawing valuable intelligence to benefit the society is without question. But, the increased data generation is not matched in consumption. That is why Gisaia provides solutions that helps EO sector players to quickly put their data in the hands of those who need it. We will be at the Paris Space Week, 2022 on March 14 -15 where we look forward to interacting, learning and sharing how the Earth observation downstream market growth can be quickly accelerated.
If you are an Earth Observation provider, you most probably get your products and data from multiple sources. Sometimes the data comes from in-house constellations plus secondary suppliers. Your users may need to access this data from the different sources for a single project. Providing this data on a single platform not only facilitates smooth exploration of the data, it also ensures quick retrieval.
ARLAS-EO allows you to showcase all your EO data in one place. With the multi-collection feature, users can easily select the data source and even more interesting, select multiple sources to view the available data all at once. Also, for EO data providers, this helps centralise maintenance, support and even supply, eventually limiting costs linked to operations
Now more than ever, data platforms need to be intuitive and responsive besides being informative.
Data-driven evidence with ARLAS Exploration
Gisaia also provides ARLAS-Explo upon which ARLAS-EO is built. It facilitates geospatial intelligence. Built upon big data frameworks, it scales with your data eliminating the challenges posed by a growing data archive. Arlas-Explo allows EO data users to get deeper insights from their collection, supporting data-driven evidence. You can carry out analytics on various datasets at the same time by easily cross-linking them. This helps save on the time it takes to move from one view to the next or one platform to another.
ARLAS-Explo is versatile as demonstrated in various applications leveraging Earth observation data: telecommunication, fleet management, insurance, maritime intelligence, among other change detection subjects. Whether you are working on sustainable management of resources, security, or business optimisation linked to Earth observation, our solutions built upon the ARLAS stack are an important brick to support data-driven decision making.
Come meet us at Paris Space Week, booth number S8 where our team will be waiting to hear about your mission and give you live demonstrations of both ARLAS-EO and ARLAS-Explo.
Contact us to book a demo in advance