By combining science, artificial intelligence and computer vision to remotelly sensed data.
We uncover information from geospatial data, providing insights and analytics to solve business problems.
Anywhere in the globe. Globally available spaceborne geospatial analytics for global businesses.
Several trillion-pixel images of planet Earth are collected daily by Earth observation satellites. While this is a unprecedented supply of Earth observation data, most of this data is not being analysed. Our focus is to process this huge amount of imagery to find trends, anomalies or to correlate it with external data sources to find cutting edge solutions to business problems.
By combining science, artificial intelligence, computer vision and machine learning to Earth observation datasets we uncover high-level abstractions that provide actionable insights. Skylab Analytics makes sense of space based imagery analytics technology for global businesses with global problems.
Some patterns are only visible when looking to the big picture. Artificial intelligence and machine learning enables to find correlations that otherwise wouldn't be found. New business opportunities emerge by applying these techniques to aerial & satellite imagery pipelines and to geospatial datasets.
Flood extent monitoring and mapping with both optical and radar-based payloads, making this solution robust to all-weather and day-and-night conditions. Down to 5 days continuous monitoring frequency and on-demand high-resolution mapping capabilities.
Monitoring of deformation/subsidence of extended areas for the real-estate and property insurance markets. Global coverage, all-weather and day-and-night monitoring capabilities. Down to 5 days measurement frequency. With the ground installation of corner retro-scatterers and occasional ground-calibration there is the possibility to monitor large areas with absolute accuracy. Examples are monitoring of dikes, mountain slopes, industrial platforms and property, etc.
More than ten thousand homes and hundreds of lifes have been lost to wildfires in 2017. This trend is likelly to keep due to climate change. Wildfire risk models can predict the likelihood a wildfire to occur and in the event of an ignition the likelly extent. These models can also be used to simulate wildfires, giving insights on sensitve areas to ignitions and to wildfire extent. These can be used as risk metrics for people and property located near forests.
Skylab helps food producers to manage its supply chain using digital technology. Whether by providing a platform to create fertilisation task maps for variable rate application machinery, generating micro weather forecasts at field scale or national-level crop yield forecasts. We offer close and far range Earth observation solutions to feed the data needs of a modern digital farming system.
Production facility-scale (coal power plants, steel, chemical and cement production sites, etc) greenhouse gas emissions measurement from satellite.We can typically measure facilities around +/- 60 degrees latitudes that emit > 6 megaton CO2 / year, with lower detection thresholds available for premium on-demand monitoring applications. The premium on-demand applications offer the capability to detect methane, which can be applied for leak detection in oil & gas and methane venting detection in mining and water discharges with organic content (such as newly built dams) applications.
We are an independent satellite data analytics company, without any revenue commitments to any satellite data provider. As such we will find the aerial or satellite data collection platform that is technically most suited to solve your problem, without a hidden commercial agenda. We work with several providers and sensor technologies.
We use spaceborne technology to provide insights to your business.