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Redefining low latency data, European Space Imaging (EUSI) offers Near Real-Time (NRT) satellite image delivery
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Redefining low latency data, European Space Imaging (EUSI) offers Near Real-Time (NRT) satellite image delivery
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AI Chain from Geo4i
AI Chain from Geo4i The AI Chain from Geo4i is a GEOINT & IMINT API environment for the automatic detection of generic objects in satellite images. The product can be integrated into GeoSpace and is based on TensorFlow, tailored to fit D&I needs. The training set is generated by the
AI Uses 15 cm Satellite Images to Cut Costs and Increase Scalability in Forest Management and Urban Forestry
Forest managers across Europe face an impossible task: monitor millions of hectares with shrinking budgets while meeting increasingly strict EU environmental targets. But with the rise of AI and satellite technology, they now have new solutions at their disposal – smarter, cheaper, and more scalable – to monitor forest health, automate tree inventories, and plan sustainable logging. In this article, we introduce one of these solutions: an AI forestry algorithm developed by Arboair using 15 cm satellite data from EUSI.
Aleph-1 Constellation
The Aleph-1 constellation from Satellogic offers European Space Imaging customers the “sweet spot” of collecting data with enough clarity to extract meaningful insights at a revisit frequency and cost that is competitive within the industry. The total constellation of 300 planned satellites delivers sub-meter multispectral and 25 m hyperspectral imagery
Amatrice, Italy, Before and After the Quake
On hearing about the earthquake early this morning European Space Imaging’s satellite tasking operations team managed to collect the first satellite image of the damage at 10:21 am (UTC). If you compare it to the high-resolution satellite image taken on the 9th August 2010 you can clearly see the effects