By combining artificial intelligence, machine learning and computer vision to remotelly sensed data.
We uncover information from geospatial data, providing insights to solve business problems.
Anywhere in the globe. We provide spaceborne geospatial analytics to 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 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.
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.
During critical operations such as fertilisation, weeding or pre-harvest desiccation it is essential to have high-availability of high-resolution data. Satellite data is ideal for large coverage applications such as monitoring a supply chain. For field-level critical applications one can source data from UAVs to collect insights on the crop status or creating actionable data such as variable rate application taskmaps.
Environmental conditions are critical to determine the level of nutrient intake by the crop and to assess wether the crop has all conditions to develop healthly. Weather forecasts are also used to plan critical operations and to mitigate risks. Skylab provides access to several soil and atmospheric weather parameter forecasts, up to 16-days forward. Alarms or reports are provided when specifically chosen environmental parameters forecasts and derivates are out of the specified thresholds.
We use spaceborne technology to provide insights to your business.