A group of suspected Mexican cartel members fired shots at U.S. Border Patrol agents on Monday afternoon as a group of migrants attempted to cross the Rio Grande. After drone video footage surfaced of an apparent cartel-on-cartel gunfight just south of the U.S. border with Mexico, Republican Congressman Chip Roy of Texas is calling attention to the danger still present at the border. The footage, which Roy obtained from sources on the border, was taken by a cartel drone and shows two sets of vehicles exchanging gunfire near the U.S. border. Video taken by the drone shows the operator eventually drop some type of missile, seeming to eliminate shooters on one side. Speaking with Fox News Digital, Roy said that the knowledge that cartels own drones with weapon capabilities "open[s] up a whole other frontier that we've got to manage and deal with border security."

This paper presents a method for detecting and estimating vehicle speeds using PlanetScope SuperDove satellite imagery, offering a scalable solution for global vehicle traffic monitoring. Conventional methods such as stationary sensors and mobile systems like UAVs are limited in coverage and constrained by high costs and legal restrictions. Satellite-based approaches provide broad spatial coverage but face challenges, including high costs, low frame rates, and difficulty detecting small vehicles in high-resolution imagery. We propose a Keypoint R-CNN model to track vehicle trajectories across RGB bands, leveraging band timing differences to estimate speed. Validation is performed using drone footage and GPS data covering highways in Germany and Poland. Our model achieved a Mean Average Precision of 0.53 and velocity estimation errors of approximately 3.4 m/s compared to GPS data. Results from drone comparison reveal underestimations, with average speeds of 112.85 km/h for satellite data versus 131.83 km/h from drone footage. While challenges remain with high-speed accuracy, this approach demonstrates the potential for scalable, daily traffic monitoring across vast areas, providing valuable insights into global traffic dynamics.

Israel is ready for an "all-out war" in Lebanon and has plans approved for an offensive targeting Hezbollah, officials have said. The claims from Israel's foreign minister and military late on Tuesday followed Hezbollah's release of threatening drone footage. The climbing tension conflicts with United States efforts to avert an escalation amid months of low-level hostilities across the Israel-Lebanon border. The nine-minute drone footage of the Israeli port city of Haifa filmed in daytime, showed civilian and military areas, including malls and residential quarters, in addition to a weapons manufacturing complex and missile defence batteries. Israel's Foreign Minister Israel Katz responded vehemently in a post on X, calling out Hezbollah chief Hassan Nasrallah for boasting about filming the ports of Haifa, which are operated by foreign companies from China and India.

Drone footage from Coconino County Emergency Management shows the aftermath of a train derailment in Williams, Arizona. A drone video captured the aftermath of a massive train derailment in Arizona involving a freight train that emergency officials say was "carrying a variety of new cars, vans and trucks." The train, operated by BNSF, derailed around midnight Wednesday in Williams, located outside of Flagstaff, according to Coconino County Emergency Management. "A total of 23 cars derailed and sustained heavy damage. The train cars involved were carrying a variety of new cars, vans and trucks," Coconino County officials said.

One killed, 10 injured and dozens of homes damage after tornado strikes Laguna Heights, Texas. Drone footage has emerged capturing the aftermath of a deadly tornado that ripped through a Texas Gulf Coast town near the U.S.-Mexico border. The EF-1 twister that struck Laguna Heights early Saturday, located on the mainland across from South Padre Island, left one dead and 10 injured, officials said. Video taken by the Brownsville Fire Department shows the damage that was inflicted upon as many as 60 homes, with some missing roofs and others reduced to piles of rubble. Roberto Flores, 42, died after being "basically crushed as a result of the damage to his mobile home," according to Eddie Treviño Jr., a judge in Cameron County.

Researchers captured drone footage of blacktip sharks evading a 12-foot-long hammerhead shark in Florida. Researchers have captured dramatic drone footage of blacktip sharks quickly evading a 12-foot-long hammerhead shark by swimming into shallow waters off Florida's coast. The drone footage captured by researchers with Florida's Atlantic University is the first evidence of large adult sharks using the shallows to flee predators. In the dramatic footage, the adult blacktop sharks are seen fleeing for shallow waters when faced with the hammerhead. The hammerhead shark was caught approaching the smaller blacktip sharks off the coast of Florida.

Analysis of the satellite images by Soar Earth, an Australian startup that aggregates satellite imagery and crowdsourced maps into an online digital atlas, suggests that the workers have already excavated around 26 million cubic meters of earth and rock--78 times the volume of the world's tallest building, the Burj Khalifa. Official drone footage of The Line's construction site, released in October, indeed showed fleets of bulldozers, trucks, and diggers excavating its foundations. Visit The Line's location on Google Maps and Google Earth, however, and you will see little more than bare rock and sand. The strange gap in imagery raises questions about who gets to access high-res satellite technology. And if the largest urban construction site on the planet doesn't appear on Google Maps, what else can't we see? The Line is as controversial as it is futuristic.

Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they? Discerning whether that dark splodge in the water is a shark or just, say, seaweed isn't always straightforward and, in reasonable conditions, drone pilots generally make the right call only 60% of the time. While this has implications for public safety, it can also lead to unnecessary beach closures and public alarm. Engineers are trying to boost the accuracy of these shark-spotting drones with artificial intelligence (AI).

Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they? Discerning whether that dark splodge in the water is a shark or just, say, seaweed isn't always straightforward and, in reasonable conditions, drone pilots generally make the right call only 60% of the time. While this has implications for public safety, it can also lead to unnecessary beach closures and public alarm. Engineers are trying to boost the accuracy of these shark-spotting drones with artificial intelligence (AI).

Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they? Discerning whether that dark splodge in the water is a shark or just, say, seaweed isn't always straightforward and, in reasonable conditions, drone pilots generally make the right call only 60% of the time. While this has implications for public safety, it can also lead to unnecessary beach closures and public alarm. Engineers are trying to boost the accuracy of these shark-spotting drones with artificial intelligence (AI).