Drone pilots earn USDC on Base blockchain to map Earth for AI world models. Spexi's LayerDrone network delivers imagery 900x ...

Microsoft’s geospatial data service is designed to help research projects using public satellite and sensor information.

According to the market research study published by MarkNtel Advisors, the Global Commercial Satellite Imagery Market is projected to grow at a CAGR of around 13.88% during 2026–2032. The market ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

By merging advanced satellite monitoring with market analysis, the combined company aims to deliver faster and more ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Machine learning and AI boosts Navy antenna and guy wire safety with smarter inspections. By catching corrosion early, ...

The organization folds the Taylor Geospatial Institute and Taylor Geospatial Engine together to spur new geospatial artificial intelligence tools.

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

Transylvania was the setting for dramatic social transformations during the Bronze Age around 4000 years ago. A key question remains: how did inequality become a common part of European societies?