
Satellite Constellations: Existing And Emerging Swarms
With thousands of satellite constellations in space presently, our planet will witness even more launches in the upcoming years. The existing and new satellite constellations serve many spheres being useful in the internet of things, telecommunications, navigation, weather monitoring, Earth and space observation, to mention a few.
Typically revolving on the low Earth orbit, satellite constellations provide the required data with quick signal transmitting time (downlink and uplink), valuable when immediate response is critical. Compared to single large satellites, swarms of small units (up to 500 kg) are cheaper and faster to deploy.
With thousands of satellite constellations in space presently, our planet will witness even more launches in the upcoming years. The existing and new satellite constellations serve many spheres being useful in the internet of things, telecommunications, navigation, weather monitoring, Earth and space observation, to mention a few.
Typically revolving on the low Earth orbit, satellite constellations provide the required data with quick signal transmitting time (downlink and uplink), valuable when immediate response is critical. Compared to single large satellites, swarms of small units (up to 500 kg) are cheaper and faster to deploy.
What Is A Satellite Constellation?
A satellite constellation (or swarm) is a network of identical or similar-type artificial units with the same purpose and shared control. Such groups communicate to worldwide-located ground stations and sometimes are inter-connected. They work as a system and are designed to complement each other. First, satellites in swarms revolve on several, usually similar orbits (orbital planes) ensuring uninterrupted or nearly uninterrupted global coverage. Second, individual constellation units can technically capture a vaster territory compared to a single remote sensing medium.
The number depends on the purpose and varies from several to thousands of units. The largest satellite constellation is Starlink (2,146 active satellites). Examples of the smallest ones are Sentinel-1 and Sentinel-2, both containing two units.
GEO vs. MEO vs. LEO Satellite Constellations
Depending on the orbital altitude , there are three different types of satellite constellations: GEO, MEO, and LEO. Each type has its specifics and is important for a particular purpose, so let’s consider how these three compare.

GEO Satellite Constellations
GEO stands for a geostationary (or geosynchronous equatorial) orbit that hosts hundreds of satellites nowadays. Geostationary swarms derived their name from their Earth-rotation mode: they synchronize with our planet’s movement, thus hovering all the time over the same point. It happens because GEO swarms fly over the equator, and each rotation takes 24 hours. GEO is a typical orbit for weather satellite constellations. Others broadcast TV and provide low-speed communication services.
Thanks to the altitude of 36,000 km, an individual GEO satellite can capture 40% of the Earth’s surface. Thus, a group of three units 120 angular degrees apart is enough to keep an eye on the whole world.
MEO Satellite Constellations
MEO is an acronym for medium Earth (or mid-Earth) swarms operating at the altitude of 5,000 to 20,000 km and traditionally serving for navigation purposes. MEO constellations also provide high-bandwidth connectivity in locations where terrestrial infrastructure is poor or not feasible. This particularly refers to maritime and aerospace industries, offshore platforms, and rescue team operations in remote areas.
LEO Satellite Constellations
LEO swarms make the densest space population, operating at an altitude of 500 to 1,200 km. The derived data is widely used by governmental bodies, as well as commercial and non-commercial organizations. Low Earth orbit satellite constellations primarily support research, telecommunication, and Earth Observation needs of environmental monitoring, disaster response, forestry, and agri-sector.
Such swarms may have circular or elliptical orbits . Circular orbits are at the same altitude, while elliptical orbits contain the apogee (the highest point) and the perigee (the lowest one). Swarms with circular orbits revolve around our planet within 1.5 to several hours and typically fly nearly above the geographic poles. As for elliptical orbits, they are passed slower at the apogee and faster at the perigee points.
Parameter | GEO | MEO | LEO |
---|---|---|---|
Altitude | GEO36,000 km | MEO5,000 to 20,000 km | LEO500 to 1,200 km |
Coverage area | GEOVast | MEOMedium | LEONarrow |
Downlink and uplink rate (signal speed) | GEOSlow | MEOMedium | LEOFast |
Ground station spacing | GEODistant | MEORegional | LEOLocal |
Antenna | GEOStationary | MEODual-tracking | LEOComplex tracking and terrestrial network |
EOS SAT Satellite Constellation As The First One To Meet Agribusiness Needs
Quite soon, EOSDA will also contribute to satellite constellation launches with its proprietary EOS SAT which is the first swarm so far specifically constructed to serve primarily agricultural purposes but it can be used in forestry and other industries as well. By providing accurate remote sensing data, EOS SAT will complete the full operational cycle of the company, including swarm assembly, imagery acquisition, and analytics delivery.

EOS SAT Satellite Constellation Parameters And Launching Timeline
EOS SAT will include seven optical units operating at the LEO orbit. The units will rotate around the Earth sun-synchronically, meaning they will appear above a certain point at the same solar time.
The constellation is designed as a system of small satellites, with a unit weight of 170 kg. EOS SAT will be unique with 13 agri-related bands and will capture 8.6 to 12 million square kilometers per day.
Optical EOS SAT sensors will acquire panchromatic (1.4 m) and multispectral (2.8 m) imagery 50% of the revolving time due to a lack of illumination. SAR satellite constellations like Sentinel-1 retrieve imagery irrespective of the sunlight. For radar images from Sentinel-1, visit EOSDA LandViewer.
EOS SAT-1 will be set into orbit in the fourth quarter of 2022, and the other six units will be deployed in 2023-2024 (three units per year). The full operational capability will be achieved by 2025.
EOS SAT Data Applications
By launching the EOS SAT satellite constellation, EOSDA won’t simply obtain field monitoring data that will be useful for farmers, crop insurers, input supplies, agri-banks, traders, and other stakeholders. The company’s R&D experts provide comprehensive analytics with the possibility to develop custom solutions for different markets. Some of the most valuable insights on the crop state and the factors it is impacted include the following:
- soil moisture,
- vegetation indices,
- growth stages,
- field boundary detection,
- change detection,
- weather analytics,
- crop classification,
- yield prediction.
EOS SAT will enhance the data precision of the company’s analytics for every single niche of the agricultural industry, contributing to carbon sequestration, responsible consumption of natural resources, and sustainable agriculture. With EOSDA, crop growers will be able to produce healthier food tackling the growing food demand on our planet and minimizing economic losses.
All in all, EOS SAT will enable EOSDA to offer the following products: satellite-as-a-service, model-as-a-service, and product-as-a-service. Find more info from our sales team via sales@eosda.com.
Why Are Satellite Swarms Important?
The first satellite constellations were launched in the 1960s, and many were deployed from the 1990s up to date. Swarms perform a number of tasks from fiber-like internet connectivity to multi-purpose Earth monitoring, obtaining quality imagery for subsequent AI-powered data procession by analytical platforms. Remote sensing data users particularly rejoice when they can buy services at affordable prices to get clear answers to their questions, and EOSDA is able to provide cost-effective and reliable solutions.
About the author:
Kateryna Sergieieva joined EOS Data Analytics in 2016. She has a Ph.D. in information technologies and a 15-year experience in remote sensing.
Kateryna is a Senior Scientist at EOSDA. Her specialty is the development of technologies for satellite monitoring of natural and artificial landscapes and surface feature change detection. Kateryna is an expert in the analysis of the state of mining areas, agricultural lands, water objects, and other features based on multi-layer spatial data.
Kateryna is an Associate Professor conducting research at the Dnipro University of Technology. She is the author of over 60 scientific papers.
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