The great wildebeest migration, seen from space: satellites and AI are helping count Africa's wildlife The Great Wildebeest Migration is one of the most remarkable natural spectacles on Earth. Each year, immense herds of wildebeest, joined by zebras and gazelles, travel 800-1,000km between Tanzania and Kenya in search of fresh grazing after the rains . This vast, circular journey is the engine of the Serengeti-Mara ecosystem. The migration feeds predators such as lions and crocodiles, fertilises the land and sustains the grasslands. Countless other species, and human livelihoods tied to rangelands and tourism, depend on it.

Amid an outbreak of recent wildfires in California, Google announced a commitment to spend 13 million to improve satellite imaging to help track and detect wildfires, starting as early as next year. FireSat, a constellation of more than 50 satellites, will be able to detect wildfires as small as the size of a classroom, about 16 by 16 feet, and the first satellite will launch in early 2025, the media giant announced Monday. Firefighting authorities currently rely on satellite imagery that detects wildfires but only when they reach about the size of a football field, or more than an acre. "We realized that if we can pair satellites with machine learning and artificial intelligence, it was the perfect platform to generate real-time operational intelligence on fires," Christopher Van Arsdale, who leads the Google Research Climate & Energy group and is chairman of the Earth Fire Alliance, said in a video announcement. The initiative is being led by the Earth Fire Alliance, a nonprofit that was launched in May to create FireSat and develop wildfire datasets, with funding from Google and the Gordon and Betty Moore Foundation.

For the past three decades, geologist Carlos Souza has worked at the Brazil-based nonprofit Imazon, exploring ways he and the teams he coordinates can use applied science to protect the Amazon rainforest. For much of that time, satellite imagery has been a big part of his job. In the early 2000s, Souza and colleagues came to understand that 90 percent of deforestation occurs within 5 kilometers of newly created roads. While satellites have long been able to track road expansion, the old way of doing things required people to label those findings by hand, amassing what would eventually become training data. Those years of labor paid off last fall with the release of an AI system that Imazon says reveals 13 times more roadway than the previous method, with an accuracy rate of between 70 and 90 percent.

Using satellites, drones and artificial intelligence, emerging technology is changing the way firefighting agencies and governments battle the ever-increasing threat of wildfires as hundreds of thousands of acres burn across the western United States. New programs are being developed by startups and research institutions to predict fire behavior, monitor drought and even detect fires when they first start. As climate change continues to increase the intensity and frequency of wildfires, these breakthroughs offer at least one tool in the growing arsenal of prevention and suppression strategies. "This is not to replace firefighting on the ground," said Ilkay Altintas, a computer scientist with the University of California, San Diego, who developed a fire map for the region. "The more science and data we can give firefighters and the public, the quicker we'll have solutions to combat and mitigate wildfires."

The line for the SXSW panel'Eyes in the Sky: The Future of AI and Satellites' snaked around many corners in Austin's JW Marriot Hotel – understandably, AI coupled with space shit, bring it on. Spaceknow Inc's CEO Pavel Machalek did most of the talking during this session. Spaceknow is a San Francisco based company building an AI system that can process the petabytes of data from the hundreds of commercial satellites circling us up above. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. "We are digitizing the physical world, so we can build apps on top it," Machalek stated. According to the Czech CEO, we're currently going through a sea of change in how we use satellite data.

The line for the SXSW panel'Eyes in the Sky: The Future of AI and Satellites' snaked around many corners in Austin's JW Marriot Hotel – understandably, AI coupled with space shit, bring it on. Spaceknow Inc's CEO Pavel Machalek did most of the talking during this session. Spaceknow is a San Francisco based company building an AI system that can process the petabytes of data from the hundreds of commercial satellites circling us up above. We're covering the weird and wonderful tech at SXSW, join us in the fun. "We are digitizing the physical world, so we can build apps on top it," Machalek stated. According to the Czech CEO, we're currently going through a sea of change in how we use satellite data.