stage the screen rate was surrounded by the cast of his latest film killers of the flower moon, which premiered at the festival on saturday. it's another cinematic or a union for a square stays and actor robert de niro, and leonardo dicaprio, the 3 and a half hour historical epic tells the story of a wave of murderers in the american west in the 1920 you're up to date on the w news, i'll have more headlines for you at the top of the hour. a marietta evans, dean from me and the entire news team in berlin. thanks for the company. the

70 years, dw, these places in europe are smashing the records step into a little bit venture. it's the treasure map for modern globetrotters, discover some of us record breaking site on google back to and now also in book form the we have thing extreme hate plus extreme rain these days. natural disasters like far as far as and funding of becoming increasingly common due to climate change. but how can the digital technology help us out? that's the topic today on ship the

weather. it's mudslides in brazil, off to heavy rain. destructive tornadoes in the us or extreme heat waves in india, climate change impacts all of us fires are destroying many hecht as a forest. both here in berlin and across europe. never before has flat cost so much damage here as in 2022 and people play an important role. well, it takes is picking one little cigarette but, and you might end up with a raging inferno. before i thought as a using digital tech to track down and put out for us as early as possible. i and when, as far as fire breaks out, there's no time some news. but it might take residents hours or even days to report that special technology can help reduce that time to a few minutes. several companies work with all just visual intelligent software, analyze assessing light, images and sensors on the ground, checking for smooth shifts and thermal infrared data that could indicate to fire. and if one is detected, 1st responders receive

a notification. with machine learning, we can actually teach the computers to identify an actual flame, or we can also teach that technology to determine if it's easy thermal imagery, whether it's a station or claim, perhaps a power station compared to a moving plane from the law science. so in that sense of the terms of warranty or to make the detection is really important. why apply is a hall to control? planes can change direction depending on the wind or they can spread it different by a map, predict california will spread for the next hour. it's built on deep learning. i'm considered as the web, the dryness of education, historical fire premises, and such a light, a ground sense of data. and this other software to simulate how wild fires will spread and health officials direct firefighters. and if i q a once all the data is available,

it's time for the fly flight is to get to work, and they have to move fast. any well equipped team needs the help of drones and extinguishing robots these days. and they are even helmets that use old method reality to display useful information. let's take a look. innovative helmets also help firefighters on the ground. these helmets feature, augmented reality technology and thermal imaging, which enables firefighters to see through smoke and darkness. that way they can find and rescue people traps by fires and bring them to safety more quickly. but things get really dangerous when firefighters end up trapped by fire. so that's where fire extinguishing robots coming. users can control them remotely from up to 200 meters away. and with a digital control station, their range can go all the way up to 2 and a half kilometers. users can guide the robot with it's built in cameras. drones can

provide additional safety. they're often used to transmit images and information on wild fires and real time. also, they can fly in smoky conditions or at night when it's dark and can carry water. they can be controlled with a now the drones can be, can be easily effective. the smaller planes, especially because they can get quite close to the talk is without wasting any lice, many firefighters, every die actually employ of what the problem is a. so from that perspective, even if you replace life by like it's, it's a big advantage. the technology not to expose you, most of those things just all i think the fine with that. but the best way to fight for us wise is to prevent them from breaking out in the 1st place. so it says over the world of working on systems to predict where and why something might catch a lot. and in california, they've come a long way in finding answers to those questions. california, as far as pricing agency works with computer modeling to create daily wildfire risk

full costs. these full costs are usually based on geographic information systems of g i. yes. a computer system that analyzes geographically reference data like much, st buildings and vegetation. the simulations can help identify risk areas because they all densely populated or have a lot of dr. agitation. the authorities come then sign the quoting, for example, removing the trees that could become fuel. so was the effect of the climate crisis, such as the via sheets and droughts of fueling wild fires. today's technology is improving the precision of early warning systems. it's much better to identify the risk for fire and also having to use my nephew finding a fire. so technologies probably most useful in preventing fires from happening in the festivals. of course, we can't prevent every disaster because one thing is clear, extreme weather isn't going to go anywhere. and i'm not just talking about extreme

hates causing drafts and fires. heavy rain will lead to flooding as well. so that's why it's important to be well prepared with precise where the full costs satellites regularly transmit the latest data. and that data needs to be analyzed and assessed quickly. but that's almost impossible without artificial intelligence. meteorologist to rely on local observations and also assess data transmitted from over 800, whether satellites the key to analyzing this data as quickly as possible often involves machine learning. we have so many satellites up in the air now. and so they give us the time date and it's, it's like a mountain of data. so if we have heat the points where it's just not possible to do it by hand anymore, it's just not possible to do anything a time. that is the time that we need for intervention. so i think that these technologies, how it's becoming really needed and they slowly, you know, percolating into into practice. one important task is combining the different types

of data transmitted by satellite where people think of a satellite, even if they think about the colors. let's see. because, you know, we, we all use google not every day to, to buy their trades, but it's not pleasant, but much different types of data. you know, when there is a storm, it's very cloudy and traditional stuff that i do not see any, for example. so people tend to use radar data for that. there was a lot of these different satellites or between about formats and this, the job of machine learning, especially like me try to make sense. so all of them together because everyone completes the weakness of the other. the cleaned up data can then be entered into computer models to simulate the physics of the atmosphere and oceans. these models divide up the world into a grid and in each square, they simulate the physical process is key to forecasting with this way. the models can estimate what the weather will be like in the coming days with

a high degree of precision. but what good are the best calculations if residents not notified? or if i don't take the warning seriously. in 2021 over 220 people died in one single rain storm in central europe. that the spot, the fact that they would notified of the danger. however, countries like india that have been struggling with the effects of climate change for decades are well prepared. for the 2013 sites, the mainland mainland full in india. and although the 6th stream lease strong stores reached wind speeds of over 200 kilometers an hour, i'm close to extensive studying. just 22 people died. but a similar psych loan in 1999 till 10000. so won't change the, the indian weather service now provides detailed warnings by text, message, email,

phone, tv, radio, social media, and other websites. the messages is spread locally to the people follow their instruction. but the situation in europe is completely different and people are not yet taking the effects of climate change. serious in 2021. the storm in germany, belgium and the netherlands killed more than 220 people. as scientists, we were, we were really shocked by, by the, the scale of the impact of slots. we certainly shouldn't be seeing that number of depths from, from that kind of further then the flooding was devastating. even just spice extensive research on early warning system. now though, in the city of austin in western germany, a risk based rain warning system which is under development is meant to predict precipitation amounts down to the square meters in europe. we're very good

at large investments in the science of climate change. so that gives us space, the big weather full cost models that can predict things, but further ahead of an event. but what we really need to do is understand the decisions that are being made in those live local communities. so that still work to be done. and what your opinions could really learn a lot from other countries. local emergency teams have to prepare as best they can forward as offices. and so they need really good maps that are perfectly up to date . that's with humanitarian, open straighten up. teen comes in the global n g o provides mapped off for disasters to achieve this employee open source programs, an artificial intelligence. most of the times when it decides to happens where you would like to have the windows, do you see permission to speak to as possible to enter the response so, but to be safe, people slides online volunteers from across the globe can help provide data for

regions that are unmapped or have errors or they can update them after natural disasters. and the digital technology really helps. we have quite a number of you still making ups, but we use within hot develop but mostly of what to kim and this we use them to speed up collection of real time points of interest. and we also have um, my delivery, which we used to collect street level imagery. did you have a real time footage of what is happened? the map with a i service helps users plus new data in open street map. the program uses machine learning to suggest in the streets and pads the humans later have to verify and maybe add missing details to the combination of human and artificial intelligence is meant to help with responding to natural disasters quickly and adequately. we

will have a system where a satellite imagery looks at the place that they've been as being flooded. for example, the identified gary as we will have deepening distress. we come my social media with some some sentiment that i just mentioned, learning technology to see if we can locate a better sam drawings. we wouldn't be jumped ecology that was like highlight people roof for rescue ration. and this quote, for example, guided people on the ground that will then be able to save life is for me, it's an example of what for the assistant management system that will be very useful satellite pictures, drones and image recognition software based technologies can save lives during natural disasters, i reckon it's good that things designs us. we can react that a to storms, fires and drops. now, do you receive digital warnings before natural disasters struck in your country? let us know and write to us on youtube and dw dot com. thanks for watching and see you next on the

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