The days when satellites were available only to government and military intelligence are long gone. Since then, space devices have had many more practical applications in various fields. By observing the planet from space, people can better understand how to preserve and improve life on Earth.
EOS Data Analytics strives to bring positive change using satellite technology and artificial intelligence to improve business productivity and environmental friendliness.
Using Opportunities from Space
EOSDA provides AI-driven satellite imagery analytics for various industries, primarily farming and forestry. It creates technological solutions to help businesses to make better decisions and is on a mission to harness space capabilities to advance sustainability on Earth.
The company uses satellite data, AI and proprietary algorithms for its products to provide users with detailed and accurate analyses of crop health, soil, forest land and other valuable information. Thus, stakeholders in various industries can optimize the application of resources and improve the efficiency of decisions made without relying on intuition.
EOS Data analytics also created EOSDA LandViewer, a GIS tool through which users can search, process and extract valuable information from satellite image on the fly. This feature-rich platform provides access to images of the Earth from various sources and enables solving multiple business tasks.
EOSDA is celebrating the first anniversary of EOS SAT-1
On January 3, 2024, EOS Data Analytics launched EOS SAT-1, marking the start of an upcoming constellation. This event became the first instance of a remote sensing company launching a farming-oriented satellite. After launching from Florida, the satellite was successfully deployed into Low Earth Orbit (LEO) using a SpaceX Falcon 9 rocket.
This project is designed to furnish top-tier data for analysis, aiming to assist farmers globally in adopting sustainable agricultural practices and facilitating environmental monitoring of forests.
Thanks to reliable data, agribusinesses can monitor crop growth and detect potential threats, including pest attacks, diseases and extreme weather events. EOS SAT can also help agri-companies optimize resource usage by analyzing productivity and vegetation maps. It also assists in evaluating crop protection products, managing irrigation, and assessing crop yields, providing valuable insights for informed crop management decisions in the farming industry.
After completing calibration and validation tasks, the company received the first ready-to-use images from EOS SAT-1 satellite in orbit. The images have a resolution of 1.5 meters and cover 2,550 sq km in Segovia, Spain. They were processed using DEIMOS Ground Segment solution gs4EO.
Satellite Monitoring for Agribusiness
Farmers can observe the harvest from above at all stages and for various needs, from daily field activities to harvesting. Earth Observation technologies are increasingly prosperous because data is as available as ever, and more companies are providing it.
Advances in satellite monitoring create clear images, blurring the line between satellite and aerial photography. Precision agriculture technologies and other farming-oriented project like EOS SAT are revolutionizing farming, enabling better and higher productivity while conserving resources.
How EO Helps to Preserve Environment
Earth Observing systems provide solutions to critical environmental problems. More CO2 leads to higher temperatures, droughts, and less fertile land. EO technology address this problem by helping to manage resources wisely and avoiding overconsumption, including using fungicides and other chemicals that negatively impact soil health.
EOSDA Crop Monitoring, an all-in-one platform for precision agriculture, analyzes historical and current field data to generate crop productivity maps. These maps help farmers to assess soil health before planting.
Satellites are also an effective tool to solve ocean plastic pollution by tracking garbage islands visible from space. Scientists and EO companies are using satellites to find plastic pollution hotspots in oceans. Dr Lauren Biermann from the Plymouth Marine Lab in the UK developed a method for detecting macroplastics in ocean waters using an AI algorithm to analyze images from the Sentinel-2 satellite.
This method uses spectral analysis in the near-infrared range. It is necessary to provide an ocean surface area with no photosynthetic activity. The absence of NIRS luminosity indicates an inorganic definition of ocean clusters. In other words, this means there is no liquid other than plastic.
Satellite systems play a crucial role in the work of emergency services. They enable localizing and assessing the extent of damage caused by natural and human-made disasters.
AI & Deep Learning Integration for Smarter Analysis
Artificial intelligence and Deep Learning advancements have immense potential to transform the farming industry by increasing sustainability and efficiency in the face of environmental challenges and threats to global food safety.
EOS Data Analytics uses artificial intelligence to gain deeper insights from satellite data. Deep learning is a field of machine learning that uses complex algorithms with artificial neural network architecture. This technology is especially effective for image classification. EOSDA uses convolutional neural networks in the company’s products. It’s one of the most popular algorithms of DL. It helps to perform various crucial tasks, including land cover classification, crop types classification, cloud detection and smart weed control.
Future Prospects and Global Impact
The satellite analytics industry today is associated with positive expectations. The prospect of living in a more connected world managed by data is pretty close. Thanks to the development of technology and innovative approaches, agriculture is on the path to sustainable development. It is possible if technology is available to farmers in different regions worldwide. EOSDA continues to evolve and help drive innovation, and current progress in the industry inspires us to move into a future enriched with reliable geospatial information and advanced analytics.