taken his leading for the g 7 summit in japan. so lensky said he hopes a new piece of plan could end the war and ukraine and all conflicts around the world. and don't forget, you can always get the the news on the go. just download our app from google play or from the app store that will give you access to all the latest news from around the world as well as push notifications for any breaking news. and that's the news for now. up next shift looks at how digital technology is helping scientists prepare for the challenges caused by climate change. next by, sir, thanks for watching the questions. got any issues or thoughts say what? the,

what do you see? it really is possible to reverse the researchers and scientists all over the world for a no race against time. they are peers and arrival with one daring goals to help smart nature, the more likes watching it. on youtube dw documentary we're seeing xtreme hate plus extreme rain these days. natural disasters like far as far as and funding of becoming increasingly comment due to climate change. but how can the digital technology help us out? that's the topic today on ship the or

whether it's mudslides in brazil of 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 feet 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. when as far as fire breaks out, there's no time to lose. but it might take residence 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 famel, infrared data that could indicate to fire. and this one is detected. first

responders receive a notification. with machine learning, we can actually teach the computers to identify on 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 as a hall to control? planes can change direction depending on the wind or they can spread at different speeds. by a map predict california will spread for the next hour. it's built on deep learning, i'm considered for when the dryness of vegetation, historical fire premises and such a light school ground sense of data and this other software to simulate how wild fires will spread and health officials, direct firefighters and evacuation the or 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 trapped 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 a 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 are 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, effectively on smaller planes, especially because they can get quite close to the target without risking any lice . many fire fights this every die actually employ. apply to that 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 once us over the world, a 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 is fine slicing agency

works with computer model, need to create daily wildfire risk full costs. these full costs, the usually based on geographic information systems o 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 accordingly. for example, removing the trees that could become fuel. so while the effect of the climate crisis, such as the via sheets and drought of fueling wild fi, as today's technology is improving the precision of early warning systems, it's much better to identify the risk for fire and also having a user by next you 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 went on,

isn't going to go anywhere. and i'm not just talking about extreme hates causing drops 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 data and it's, it's like a mountain of data. so if we have hit 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 this technology, how it's becoming really needed and they slowly, you know, percolating into into practice. one important task is combining the print types of

data transmitted by satellite 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 satellites 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 of our pets and this, the job of machine learning, especially like me, is to try to make sense of all of them together because everyone completes the weakness of the other. the cleaned up data can then be entered into the 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 with 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 sykes and mainland mainland full in india. and although the 6th stream lease strong stores reached wind speeds of over 200 kilometers an hour and coast extensive, subbing just $22.00 people died. but a similar site close to 1999 killed 10000. so won't change the. the indian weather service now provides detailed warnings by text, message, e mail, food, tv, radio,

social media, and other websites. the messages is spread locally to the people follow their instructions. 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 impacts of the floods. we certainly shouldn't be seeing that number of desks 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 those, 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 state employee open source programs, an artificial intelligence. most of the times when it decides to happens where you would like to have access to the windows, do you see permission to speak to as possible to be at this point. so, but to be safe people's lives. 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 upgrade and humble, you still making ups, but we use with a hot develop but mostly of what to kim and these, we use them to speed up collection of real time points of interest. and we also have um, my bloody, which we used to collect street level imagery, did you have a real time to do what is happened? the map with a i surface helps users plot new data in open street map. the program uses machine learning to suggest 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 areas where we, we will have deepening distress. we come mind social media with some, some sentiment, the analogy, especially learning technology to see if we can locate a better sam drawings. we with the vision, think knowledge is a good, like highlight people roof for rest, your ration. and this quote, for example, guide people on the ground that will then be able to save lives. even 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. these technologies can save lives during natural disasters. all right, and it's good that thanks to scientists, we can react that it's a storms, flies 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 the w dot com. thanks for watching and see you next on the

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