As we climbed the winding road to Bédar, we emerged into a charred and desolate landscape. Molten car parts littered our path and out of the window we saw the whole hillside now coated in a dusty black. At least 13 people, including five believed to be Britons, were killed by Thursday's wildfire in Spain's Almeria province, one of the country's deadliest ever. The toll rose on Sunday after a 93-year-old woman, believed to be British, died of her injuries in hospital. The identities of those killed have not yet been officially confirmed.

A large-scale wildfire in north Wales as been declared a major incident by emergency services, as firefighters tackle fires across England and Wales during the record-breaking heatwave. Residents near Conwy Mountain and the Sychnant Pass have been evacuated, while members of the public were warned to avoid the area. In Greater Manchester, fire crews are working to contain a moorland fire near a reservoir, while in Camberley, Hampshire, crews are extinguishing a large heathland fire. Wildfires burned in County Durham, Derbyshire, East Sussex, West Sussex, Devon and Somerset over the weekend, during a warning that parts of the country were facing an exceptional risk for fires. North Wales Fire and Rescue Service said in an update on Sunday afternoon that it was working in challenging conditions in order to contain the Conwy Mountain fire, with operations expected to continue for some time.

A British couple have been found down a ravine, badly burned and semi-conscious, after being caught up in the deadly wildfires that tore through Spain's Almeria province, according to local media. The pair are thought to have been out hiking when they were caught up in the blaze, which spread rapidly through the province on Thursday. They were evacuated and taken to hospital where they are in intensive care. Hundreds of firefighters have been battling the fires, which have claimed the lives of 12 people, including four believed to be Britons, and burned through 6,600 hectares (16,300 acres), local authorities said. The identities of those killed have not yet been officially confirmed.

We use prompts to LLMs to act as language tools for two types of tasks in our work. The first being to798 read through and retrieve the relevant information from news articles to caption our image sequences,799 figures 6 and 7 The second being utilizing our captions to generate event specific question-answer800 pairs, figures 8 and 9.801 We conducted human validation on 144 events sampled across 15 disaster types to assess caption803 quality. Human evaluators were asked to classify each event as: (1) clear alignment between images,804 captions, and sources, (2) mismatch, or (3) inconclusive where imagery was insufficient to verify805 caption details. Overall results showed 65.3% clear alignment between images, captions, and sources,806 18.8% had mismatches, and 16.0% were inconclusive where imagery was insufficient to verify807 caption details. Excluding inconclusive cases, 77.7% of determinable events showed alignment,808 demonstrating reasonable caption quality for LLM-generated annotations.809

B: 2022-06-01Natural disasters cause devastating damage to communities and infrastructure everyyearareas.

One of only four teams remaining from more than 130 competitors worldwide, our team AURA Foresight is developing autonomous technology to stop wildfires before they grow out of control. AURA Foresight has been selected as a finalist in the prestigious XPRIZE Wildfire Autonomous Wildfire Response competition, emerging as one of just four teams remaining from more than 130 teams from around the world. XPRIZE Wildfire is a four-year, US$11 million global competition designed to accelerate breakthrough technologies capable of ending destructive wildfires. The Autonomous Wildfire Response track, worth US$5 million, challenges teams to autonomously detect, verify and respond to wildfire ignitions across a 1,000 km landscape within just ten minutes. The finals will take place in Nenana, Alaska, where teams will demonstrate their technologies in realistic wildfire response scenarios.

We present a multi-temporal, multi-modal remote-sensing dataset for predicting how active wildfires will spread at a resolution of 24 hours. The dataset consists of 13 607 images across 607 fire events in the United States from January 2018 to October 2021. For each fire event, the dataset contains a full time series of daily observations, containing detected active fires and variables related to fuel, topography and weather conditions. The dataset is challenging due to: a) its inputs being multi-temporal, b) the high number of 23 multi-modal input channels, c) highly imbalanced labels and d) noisy labels, due to smoke, clouds, and inaccuracies in the active fire detection.

The vast amount of data required to model wildfires at a larger scale presents difficulties in the collection and curation of the data.

In a move to help alert people to the spread of nearby blazes, Ring is partnering with Watch Duty to let users share their videos on the wildfire tracking app. The nonprofit Watch Duty is partnering with Ring, the Amazon-owned maker of doorbell cameras, to help users share videos of nearby wildfires on Watch Duty's wildfire tracking app. The result is Fire Watch, a new feature being added to Ring's Neighbors app, the stand-alone service that lets users see activity from nearby Ring cameras. If there is a fire in the area, users will be notified and can go into an emergency mode that lets them share videos from their Ring cameras to the feed about that specific fire on Watch Duty's platform . It's not a posting free-for-all; Watch Duty says it will choose which Ring videos to show in Fire Watch, based on relevance.