For the sake of this article we’ll focus on computer vision techniques applied to satellite imagery – which is one of the most promising applications of AI in space technology today.
Instead of spending days searching for a good basemap, you can tap into this list of free satellite imagery data. But open source data — a valid and timely source for stories, nonetheless, despite lower resolution— remains under-leveraged. Pioneering British business uses satellite data analytics to provide pipeline asset risk solution in Australia. Based around Copenhagen, Denmark. You’ve learned some of the key data centers to collect free satellite imagery from around the globe.


Before the analysis is computed, the satellite data is adjusted for biases using the method of Reynolds (1988) and Reynolds and Marsico (1993). A description of the OI analysis can be found in Reynolds and Smith (1994). Pioneering British business uses satellite data analytics to provide pipeline asset risk solution in Australia. Satellite Imagery Analysis with Python. The analysis uses in situ and satellite SSTs plus SSTs simulated by sea ice cover. The challenge was to develop a telemetry analysis system that was flexible, fast, accurate, and able to provide the multiple views of the data required by the satellite engineers. Simply put, the SR data is that satellite data which has been algorithmically corrected to remove any interference from the atmosphere. You’ll find details of how to get your area of interest AOI coordinates in my previous: Satellite Imagery Analysis with Python post. Among other data management options, we currently offer data harmonization to get unified and typed data for full-fledged analytics, and scalable data processing on a contractual basis (B2B) Whereas ML is used to understand satellite data, AI is used to apply satellite data to real-world problems. Our platform is a cloud-based satellite imagery catalog equipped with a set of on-the-fly data processing tools, useful analytical features, as well as fire analysis and deforestation functions. The report aims at estimating the market size and future growth of the Satellite Data Services industry based on offering, process, application, vertical, and region. Polar-orbiting satellites collect data for weather, climate, and environmental monitoring applications including precipitation, sea surface temperatures, atmospheric temperature and humidity, sea ice extent, forest fires, volcanic eruptions, global vegetation analysis, as well as search and rescue. The world is hungry for data. Satellite data analysis and remote sensing for hydrology, water quality, environmental assessment, and land cover mapping. Given that this article covers image recognition and analysis from satellite data, AI and machine learning are essential to the task at hand, but that isn’t always the case. Since the emergence of high-resolution data provided from firms like DigitalGlobe and Planet Labs, the supply of satellite stories has mushroomed. Summary: 15 Free Satellite Imagery Data Sources. Tags: ARTES, ESA, European Space Agency, flood risk, pipeline leak prediction, satellite data, satellite data analysis, satellite data analytics, smart cities, subsidence, urban resilience. Satellite data has opened up new channels on how we view the planet. Tags: ARTES, ESA, European Space Agency, flood risk, pipeline leak prediction, satellite data, satellite data analysis, satellite data analytics, smart cities, subsidence, urban resilience. Satellite data has opened up new channels on how we view the planet. For climate scientists, intelligent analysis of satellite imagery can help monitor crop health, vegetation, and water sanitation.