The increasing adoption of satellite Internet with low-Earth-orbit (LEO) satellites in mega-constellations allows ubiquitous connectivity to rural and remote areas. However, weather events have a significant impact on the performance and reliability of satellite Internet. Adverse weather events such as snow and rain can disturb the performance and operations of satellite Internet's essential ground terminal components, such as satellite antennas, significantly disrupting the space-ground link conditions between LEO satellites and ground stations. This challenge calls for not only region-based weather forecasts but also fine-grained detection capability on ground terminal components of fine-grained weather conditions. Such a capability can assist in fault diagnostics and mitigation for reliable satellite Internet, but its solutions are lacking, not to mention the effectiveness and generalization that are essential in real-world deployments. This paper discusses an efficient transfer learning (TL) method that can enable a ground component to locally detect representative weather-related conditions. The proposed method can detect snow, wet, and other conditions resulting from adverse and typical weather events and shows superior performance compared to the typical deep learning methods, such as YOLOv7, YOLOv9, Faster R-CNN, and R-YOLO. Our TL method also shows the advantage of being generalizable to various scenarios.

Sky is going to let people watch all of its TV channels without a satellite dish for the first time ever. The company is going to let people watch its full TV service through broadband instead of installing an entire satellite dish on their house. The move is apparently an attempt to stop the rate of "churn" at Sky – how many people join the service and then leave. The announcement came as Sky revealed surging numbers of people leaving to competitors like BT – up to 11.6 per cent from 10.2 per cent last year. Those same results showed a 9 per cent fall in earnings because of the increased price of football rights.

Amazon has been busy testing out its new Prime Air initiative at a secret location in the English countryside. The service's promise of a 30-minute delivery by specially designed drones may look like click-bait PR, but it's an early sign of the significant changes coming to cities around the world. For the moment, much of the hype around drones is full of caveats: safety is always the first priority, and nobody quite knows the full extent of what's possible. Amazon has been busy testing out its new Prime Air initiative at a secret location in the English countryside. This undated image provided by Amazon.com