In the past, accessing and analyzing space data was something you could only do if you had specialized training and access to specific systems. Luckily, that is not the case any longer. Now, there are several space APIs that allow people from all over the world to access the type of data that can fuel environmental research, track climate change issues, or optimize agricultural businesses.
That’s all become even easier with the rise of AI, which many space APIs have introduced into their systems.
So, Is There AI for Space Data?
Yes. Artificial intelligence has been used extensively by companies wanting to harness space data in the most efficient manner. This advanced type of automation means that you can track environmental shifts or global trade at a moment’s notice. With this, companies gain real-time insights that help them make better decisions going forward.
SkyFi Rowan: A Way to Simplify Space Data
SkyFi is a space API that has revolutionized access to Earth observation data from satellites. One of their more recent breakthroughs was the development of Rowan, its very own AI navigator that allows anyone to make a request about a specific location, goal, or time.
One of the standout ways it does this is with its automated search function. Users do not need to understand complicated space jargon, but can instead use plain language communication. SkyFi’s Rowan instantly scans an enormous back catalog of space images so users do not have to meticulously go through all of the data themselves, which can otherwise be extremely time-consuming. It makes the data so much more accessible and easier to analyze.
How Companies Utilize AI for Space Data
It’s becoming increasingly clear that more companies that already use space data are harnessing AI to increase efficiency all around. Here are some of the industries in which it’s happening the most.
Farming
One of the biggest industry use cases for space data is within the agricultural industry. AI has helped streamline this. In farming, satellite data allows for crop health monitoring on an extremely large scale. With AI-driven Earth observation data, this goes a step further, as farmers can pinpoint problem areas such as pest outbreaks or problems with flooding.
Supply Chain
Managing a supply chain means understanding what happens from A to B and back again. Often, businesses need to track visibility across a large area, and AI-powered space data definitely helps with that. By using automated satellite images and analytics, supply chain businesses can evaluate the logistics process on a much larger scale in a way that saves a lot of time.
Climate Monitoring
Other organizations that massively benefit from space data AI are those in the climate monitoring industries. Climate monitoring requires tracking environmental impact on an extremely large scale from all over the world. AI models that analyze satellite feeds help with that enormously, as it means tracking deforestation rates, glacier retreats, and methane emissions in a much more streamlined manner.
AI tools like Rowan have seriously changed the satellite tracking game. Everyday operations are now able to take advantage of space data. It’s not just for scientists anymore, but for all kinds of modern businesses from all over the world.
