Screenshot of ARLAS.IO with Copernicus weather data and turtle tracking data from Argonautica, CLS.



   20, October 2022,  by Quentin Martin-Cocher

we NEED ACCURATE INFORMATION To preserve endangered species

As floods, forest fires and heat waves become more severe and frequent each year, the evidence of climate change is not a subject up for debate. Thanks to satellite telemetry and Earth Observation, we have more accurate knowledge of the potential of climate evolution.  Apart from air pollution, a projected rise of the air temperature of up to 7°C at the end of the century, many species are endangered as they cannot adapt to such quick changes.

But to preserve endangered species, we need to have as much knowledge as possible on their behaviours. In the past, our team explored birds’ migration using storks tracking data from Max Planck Institute. Another symbol of wildlife preservation is the marine turtle. There are 7 species on Earth, but only 6 of them are classified as endangered: the flatback turtle is not classified as sufficient data has not yet been gathered.

Thanks to wildlife monitoring programmes such as Argos, specialists have precise data in their hands to study species’ behaviour.

As we are not specialists of marine wildlife, we will use scientific literature results, to explore the impact of climate conditions on loggerhead turtles movements. To do so, we need to cross-explore two large data sets, which brings challenges in terms of scalability and multiple collection exploration. We will also see how ARLAS helps us solve those issues.for



To carry out this study, we will observe the movements of 54 loggerhead turtles in three main areas: the Atlantic Ocean, the Mediterranean Sea, as well as the Indian Ocean. Thanks to Copernicus’ Marine Resources platform, we will explore four climate parameters in the areas neighbouring the turtles’ trails:

    • Concentration of chlorophyll in the water;
    • Sea Level Anomaly (SLA);
    • Surface marine currents;
    • Sea Surface Temperature (SST);

For decades, the amount of data that exists in the world has been growing exponentially, to reach a projected 175 Zetabyte in 2025. To clarify, a Zetabyte is a number with 21 zeros, but it still is hard to grasp the magnitude of such big numbers. To compare with something that is easily representable, it is estimated that the oceans of Earth contain a bit over 1 Zeta-litre of water. In order to process even a slice of this data, data exploration solutions need to be scalable and withstand heavy queries.

To explore the impact of climate conditions on loggerhead turtles’ movements, we used two datasets : turtle positions from the Argos beacon of CLS and climate data from Copernicus’ Marine Resources platform.

Unfortunately, due to the large geographical and temporal extent of our loggerhead turtles’ data, one Copernicus dataset does not suffice. To produce the final data set that we used for our study, multiple sources had to be aligned and merged. Once aligned on a common grid, the representation with ARLAS’s Network Analytics layers proved to be an effective way of displaying this raster data.

In the oceans, the bottom of the food pyramid is held by phytoplanktons. Their green colour is due to the chlorophyll they contain and produce: thanks to satellite image, it is possible to infer the concentration of chlorophyll in the water and thus how rich in nutrients the water can be for the higher tiers of the food pyramid.

In areas with high concentrations, turtles are seen deviating from the migration path and extending their trails to forage in those waters, as can be observed below.

Screenshot of ARLAS.IO with Copernicus weather data and turtle tracking data from Argonautica, CLS.

The Sea Level Anomaly is the local difference from the long-term average sea level. It can indicate unusual values for other climate conditions such as water temperatures, salinities, average monthly winds, atmospheric pressures, or coastal currents. Around these occur eddies that circle around those anomalies and induce a pumping phenomenon that will pull up nutrient-rich deeper waters that will also constitute interesting foraging grounds for turtles.

In the example below, the turtle Gloria can be seen bypassing the different anomalies that are denoted with deep red and blue colours.

Screenshot of ARLAS.IO with Copernicus weather data and turtle tracking data from Argonautica, CLS.

Marine currents are crucial when it comes to our oceans’ health: they help control the climate by carrying warm water from the Equator to the poles, as well as help marine wildlife. Currents carry nutrients from colder polar waters to more temperate areas, in addition to carrying spawns, younglings and adults towards their destination.

In the case of loggerhead turtles, adjuvant marine currents can help them accelerate, as seen below. As currents become stronger in the turtle Tina’s trail direction, she gains noticeable traction as shown with her trail’s colour pulling towards redder shades.

Screenshot of ARLAS.IO with Copernicus weather data and turtle tracking data from Argonautica, CLS.


Sea turtles are cold-blooded reptiles that depend on their environment to regulate their body temperature. Due to that, they tend to live in waters between 13 and 28°C. Below 13°C their metabolism slows down and can reach a cold-stunned state where they are unable to move. At high temperatures, their metabolism accelerates. Temperature also plays a core part in the sex-balance of the species: the warmer the nesting beach’s sand temperature, the more female there will be.

With the warming of our climate, it is estimated that the coming decades will see an imbalance in the population which can have a harmful impact on sea turtles’ genetic diversity. Being able to monitor the temperature of nesting beaches as well as of the turtles’ environment can help us protect them better.

With ARLAS-Explo, we can study the evolution of the water’s temperature across multiple egg-laying seasons (June to August in the Mediterranean Sea). Over longer time periods, we could observe whether there is a change in their behaviours or habitats that could occur due to the rise of sea temperatures.

In the following ARLAS dashboard view, the turtles’ positions are represented during their egg-laying season in the Mediterranean Sea. As shown in the first graphs, most of the temperature variations are due to the evolution of the temperature across this period. However, the swimlanes in the second set of graphs could help us track along the years the variation in temperature. Here, they are limited to around less than a degree in average, with variations that can be linked to average temperature records.


Screenshot of ARLAS.IO with Copernicus weather data and turtle tracking data from Argonautica, CLS.


All efforts towards wildlife monitoring are expected to help gain more knowledge on their behaviours as well as protect them better.

If you are working in wildlife observation, monitoring or studies, check out our demo to get a glimpse of ARLAS at work on loggerhead turtles and climate data.

ARLAS Explo offers a robust framework to help accelerate development of geoanalytics platforms of diverse use-cases.



As Part Of A Research And Development Contract

  3 February 2022, Media Release

Media release, 3 February 2022

In a quest to expand its smart city initiatives, Montpellier Méditerranée Métropole has chosen a consortium that includes Gisaïa among 10 others consortia in a smart city initiative for digital technology at the service of the territory’s project. It is a one year experimental work for the metropolis to offer new services to the city.

The competitive call for projects received over 30 innovation applications covering diverse themes: mobility, culture, energy, the environment, living in the city, digital inclusion and IOT. 

Gisaïa, ICIA Technologies, and Patrick Gendre, who is a mobility expert, proposed the “Open Mobility Dashboards” project.

This project responds to the Montpellier Méditerranée Métropole mobility plans for 2030. The Métropole is looking to develop mobility indicators that will support data-backed decision making to improve travel for its citizens., our public transportation data analytics solution will support the initiative in developing public transport indicators. The Open Mobility Dashboard will also include mobility indicators for pedestrians and cyclists.

The projects were selected based on the the following criteria

  1. The service: level of utility, added value,
  2. The innovative nature of the project
  3. Potential economic benefits: visibility and development potential of the project
  4. The ability to be experimented (the quality of the protocol and the monitoring of uses)
  5. Interoperability and reuse
  6. The overall coherence of the project in terms of sustainable development, resilience and contribution to the quality of life of citizens

In France, Montpellier, joins Tisseo collectivities in using for public transportation decision making. supports public transport operators, authorities and researchers in ensuring that their decisions are founded on data. Various business departments in the Montpellier Méditerranée Métropole will provide their expertise to improve feedback and knowledge of the application contexts of the services developed by the winners.

Request for a demonstration of here.

GET IN TOUCH For more details

 About Gisaïa:

Gisaïa brings seven years of geo-big data analytics expertise, and a robust geo-analytics solution, “ARLAS. The ARLAS framework has been tried and tested in diverse use cases for geospatial intelligence, especially in Earth observation data optimisation.

ARLAS EO software for building robust Earth Observation Data Catalogues



   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.
ARLAS EO software for building robust Earth Observation Data Catalogues

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.


 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.

Arlas EO solution software for building Earth Observation Data catalogues

Gisaia IN


  22 Octobre 2021, Media Release

Media release, 22 Octobre 2021

Our team joins others from the French space sectors to form a consortium that has been chosen by the Directorate General of Enterprises (DGE) and Centre National d’Études Spatiales for the DOMINO-X project.

We are proud and happy to contribute to this innovative initiative that will exploit Cloud and Artificial Intelligence technologies to standardize the architectures of ground-based Earth Observation segments and promote the emergence of a modular product and service offering. This will facilitate a need to offer customers lower costs for their requests.

Airbus Defence and Space are leading the DOMINO-X  consortium that brings together other experts from: Airbus, Thales Alenia Space, Safran, CS Group, Orange and Capgemini, Gisaïa, Stack Labs, Human design Group, Geotrend and Leanspace.

Gisaïa will be fronting our solution, ARLAS  for geospatial data analytics . This is not the first time that Gisaïa joins some of the consortium members and offers solutions that simplify the access to Earth Observation products. ARLAS is part of the framework that Theia and Dinamis are built on. 

ARLAS is open source architecture software that is also built on the latest big data technologies making it both easily interoperable with other solutions. It scales easily with a growing archive . This is important in the DOMINO-X mission which seeks to explore volumes of Earth Observation data, from diverse product families. But that is not all, ARLAS will also be offering interactive visualisation of the data with a simplified filtering process that makes it easy to quickly sort through data and find what one is looking for. 

The DOMINO-X ultimate quest is to deliver valuable insights for decision making from Earth Observation data by making it accessible to as many users as possible.

For more details contact

 About Gisaïa:

Gisaïa brings seven years of geo-big data analytics expertise, and a robust geo-analytics solution, “ARLAS”. The ARLASframework has been tried and tested in diverse use cases for geospatial intelligence, especially in Earth observation data optimisation.

Gisaia wins EU Horizon2020 UFO Challenge with ARLAS for geospatial data - AIS data. European Union Horizon2020 UFO Challenge 2021 Winners

FAIR WINS UFO 2021 Challenge

EUROPE UNION Horizon 2020 UFO Challenge

 06 July 2021, Media Release


FAIR Consortium,

Media brief, 06 July 2021

Gisaïa, Skyline Partners, e-Odyn are excited to announce that their consortium won a grant by the European Union’s Horizon 2020 research and innovation programme coordinated by Aerospace Valley. The award was through a tendering process that saw the consortium emerge with top scores for their proposal responding to “Emerging indUstries new value chains boosted by small Flying Objects – UFO” 

The UFO project seeks to develop cross-sectoral industrial value-chains between selected emerging industries, to stimulate new products and services from small and medium enterprises. 

Mr Thaddé Bouchard, the UFO Coordinator at Aerospace Valley shares what got FAIR on the winning list.

Based on a high quality application, the project FAIR presents for UFO a great opportunity to combine new market opportunities with climate change tackling. The parametric products proposed by FAIR, leveraging on advanced scientific and insurance models, represent a highly innovative approach for ship insurance. FAIR proposes a promising solution in contrast with traditional practices of the insurance industry in the marine sector demonstrating how satellite data can foster the value chains of emerging industries.”

The award will allow the consortium to bring together their aggregated technologies to develop and test a parametric index insurance product for the marine sector. Mr Bouchard notes that FAIR put together the right actors to successfully execute the project.

The grant runs between May 2021 – May 2022. After the one year development period, the consortium aims to put a fully transparent risk transfer product that protects ship owners while also benefiting the environment . This will be achieved through full automatiomation of risk calculations based on Earth observation data to cover overlooked aspects of operations.

The consortium, which is made up of marine data specialists, geo-big data analytics experts and parametrics insurance specialists, believes that this project will open up a new revenue stream for Small Flying Objects (SFOs), in high value marine insurance . 

For more details contact


UFO’s media release from published here on their website.


About the consortium:

eOdyn’s solutions rely on its Omni-Situ ocean dynamics (wind, wave, surface current) measurement technology. It delivers high temporal and spatial resolution, in real-time with virtually global offshore coverage, thanks to machine learning algorithms mining into marine traffic data.

Gisaïa brings seven years of geo-big data analytics expertise, and a robust geo-analytics solution, “ARLAS”. The ARLASframework has been tried and tested in diverse use cases for geospatial intelligence, especially in Earth observation data value creation. The ARLASframework already powers INSDEXⓇ, an index insurance technology platform produced and run by Skyline Partners.

Skyline Partner is a UK Insurtech company, specialised in index-based parametric insurance. Our solutions are data & technology-driven and underwritten by top tier international re/insurers with superior ratings. Skyline has developed its own index insurance technology platform INSDEX® and aggregates high-value data from multiple sources.

Index Insurance - Geospatial Intelligence.


 21 September 2020, Media Release

London – Toulouse: 21 September 2020 – Skyline Partners and Gisaïa announce their strategic partnership and the launch of, Skyline’s index insurance technology, starting with Solar.

Solar is a unique index insurance solution by Skyline for renewable solar energy, powered by Gisaïa’s geospatial solution ARLAS that will bring a unique risk transfer and management platform for clients to explore, monitor and insure the lack of solar radiation.

The same data used to pay claims will be used to monitor their risks in full transparency for customers and risk carriers.

Combined with faster and guaranteed payouts, Solar will support project developers and green investors in securing better funding terms and help them manage their risk appetite.

“Gisaïa’s expertise in geospatial big data exploration has been proven in the high-tech space industry. Their ability to deliver high quality geospatial visualisation is unprecedented in the insurance industry. We are very excited to partner with them and bring this unique value proposition. Our shared focus on innovation, technology and data cement this partnership for the long term.” Laurent Sabatié and Gethin Jones, Skyline Partners Co-Founders and Directors.

“Skyline Partners have unique expertise and experience in parametric insurance underwriting. Skyline’s ability to keep up with innovative trends and even become early adopters aligns with our quest to explore new spaces to deploy our ARLAS® framework. We are thrilled to find a partner who shares in our push for excellence and positive customer experiences” Laurent Dezou and Sylvain Gaudan, Gisaïa Co-founders and Directors.

Index-based insurance, whilst already a well-known mechanism, has been slow to emerge as an established risk transfer option by risk carriers and customers.  This is starting to change and index insurance is now accelerating to complement traditional programmes, in markets where cover gaps or exclusions exist, or conditions are tightening.

With Skyline aims at facilitating and spreading the use of index insurance, as an efficient and transparent means of risk transfer with fast and guaranteed access to cash at the occurrence of adverse events.

New upgrades will soon be released, to accompany existing Skyline index solutions for renewable wind energy, agriculture and natural catastrophes. In addition, Skyline has also developed a beta version of index insurance technology for distributors and risk carriers that integrates the same visualisation capabilities, but also index risk modelling, large scale pricing and payout trigger notifications.

By combining Skyline’s index modelling capabilities with Gisaïa’s big data geospatial expertise, the partnership will create a powerful and unprecedented proposition for the insurance industry. It will bring significant value to customers, brokers and carriers to help them comprehend, manage and transfer risks, in line with their specific needs.


For more details

Contact Skyline to discuss index-based insurance:



Additional RESOURCES

Please follow Skyline Partners and Gisaïa for updates on the joint venture:

Follow Skyline Partners on Twitter,  LinkedIn

Follow Gisaïa on Twitter,  LinkedIn

About Skyline Partners

Skyline Partners is a private-equity funded UK insurtech company, focusing solely on index-based parametric insurance. Our solutions are data, technology-driven, and underwritten by top tier international re/insurers with superior ratings. Skyline has developed its own index insurance technology platform and aggregates high-value data from multiple sources. Our initial focus is on Renewable Energy, Agriculture, and Natural Catastrophes, but our ambition is to develop index solutions for all classes and segments. For more information on our vision and solutions, visit

About Gisaia

Gisaïa is an expert in geospatial intelligence with experience in facilitating rapid deployment of technology solutions for deeper geospatial-big data analysis. Our ARLAS ® framework is built to serve efficiently: every function is developed to not only support the ease of operations but also, deliver expected results. We have tried and tested the potential of ARLAS ® framework’s versatility in diverse use-cases, with great results. For more information about Gisaia visit: and ARLAS:

Watch demo here: